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    <title>Pim Nelissen</title>
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    <description>Recent content on Pim Nelissen</description>
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      <title>Random forest models for the prediction of biome types and climate variables</title>
      <link>//localhost:1313/en/projects/biome-classification/</link>
      <pubDate>Thu, 14 Nov 2024 00:00:00 +0000</pubDate>
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      <description>&lt;div class=&#34;notice tip&#34;&gt;&#xA;  &lt;div class=&#34;notice-title&#34;&gt;&#xA;    &lt;i class=&#34;fa-solid fa-lightbulb&#34; aria-hidden=&#34;true&#34;&gt;&lt;/i&gt;Tip&#xA;  &lt;/div&gt;&#xA;  &lt;div class=&#34;notice-content&#34;&gt;The report is available &lt;a href=&#34;//localhost:1313/files/random-forests-biomes.pdf&#34; &gt;here&lt;/a&gt;.&lt;/div&gt;&#xA;&lt;/div&gt;&#xA;&#xA;&lt;h1 id=&#34;reflection&#34;&gt;&#xA;  Reflection&#xA;  &lt;a class=&#34;heading-link&#34; href=&#34;#reflection&#34;&gt;&#xA;    &lt;i class=&#34;fa-solid fa-link&#34; aria-hidden=&#34;true&#34; title=&#34;Link to heading&#34;&gt;&lt;/i&gt;&#xA;    &lt;span class=&#34;sr-only&#34;&gt;Link to heading&lt;/span&gt;&#xA;  &lt;/a&gt;&#xA;&lt;/h1&gt;&#xA;&lt;p&gt;This project was a big learning moment when it comes selecting training and testing datasets appropriately in statistical learning. The model can only ever be as good as the data we use. It was one of the first times working with geographical, grid-based data, which was also interesting. Since all of the data worked with was directly fed from a model, it&amp;rsquo;s also important to know the limits of one&amp;rsquo;s original model which provided the data. Sometimes, the problem may not be our classifier or regression model, but simply that we did not have enough, or the right, information to properly distinguish data in the first place.&lt;/p&gt;</description>
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      <title>Machine learning applied to radioactive decay data (Bachelor thesis)</title>
      <link>//localhost:1313/en/projects/bsc-thesis/</link>
      <pubDate>Thu, 27 Jun 2024 00:00:00 +0000</pubDate>
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      <description>&lt;div class=&#34;notice tip&#34;&gt;&#xA;  &lt;div class=&#34;notice-title&#34;&gt;&#xA;    &lt;i class=&#34;fa-solid fa-lightbulb&#34; aria-hidden=&#34;true&#34;&gt;&lt;/i&gt;Tip&#xA;  &lt;/div&gt;&#xA;  &lt;div class=&#34;notice-content&#34;&gt;The paper is available for &lt;a href=&#34;http://lup.lub.lu.se/student-papers/record/9168893&#34;  class=&#34;external-link&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;open access&lt;/a&gt;.&lt;/div&gt;&#xA;&lt;/div&gt;&#xA;&#xA;&lt;div class=&#34;notice tip&#34;&gt;&#xA;  &lt;div class=&#34;notice-title&#34;&gt;&#xA;    &lt;i class=&#34;fa-solid fa-lightbulb&#34; aria-hidden=&#34;true&#34;&gt;&lt;/i&gt;Tip&#xA;  &lt;/div&gt;&#xA;  &lt;div class=&#34;notice-content&#34;&gt;The code I wrote for the decay chain simulations is openly available on my &lt;a href=&#34;https://git.pimnel.com/pim/shn-decay-chains&#34;  class=&#34;external-link&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Git instance&lt;/a&gt;.&lt;/div&gt;&#xA;&lt;/div&gt;&#xA;&#xA;&lt;h1 id=&#34;reflection&#34;&gt;&#xA;  Reflection&#xA;  &lt;a class=&#34;heading-link&#34; href=&#34;#reflection&#34;&gt;&#xA;    &lt;i class=&#34;fa-solid fa-link&#34; aria-hidden=&#34;true&#34; title=&#34;Link to heading&#34;&gt;&lt;/i&gt;&#xA;    &lt;span class=&#34;sr-only&#34;&gt;Link to heading&lt;/span&gt;&#xA;  &lt;/a&gt;&#xA;&lt;/h1&gt;&#xA;&lt;p&gt;This 6 month journey has been one with many challenges, but also one of a lot of personal growth. Life was not always easy during this semester, which had caused unfortunate delays in the project. As my supervisor assured me, this is how it always goes in research. Plans continuously change, timetables need adjusting and ambitious ideas put on hold. This project then certainly made me improve my planning skills. Dealing with setbacks was also more common in this rather independent project, compared to any coursework before.&lt;/p&gt;</description>
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      <title>Coupled Pendula &amp; The Kuramoto Model (1st year experimental project)</title>
      <link>//localhost:1313/en/projects/first-year-project/</link>
      <pubDate>Tue, 15 Jun 2021 00:00:00 +0000</pubDate>
      <guid>//localhost:1313/en/projects/first-year-project/</guid>
      <description>&lt;div class=&#34;notice tip&#34;&gt;&#xA;  &lt;div class=&#34;notice-title&#34;&gt;&#xA;    &lt;i class=&#34;fa-solid fa-lightbulb&#34; aria-hidden=&#34;true&#34;&gt;&lt;/i&gt;Tip&#xA;  &lt;/div&gt;&#xA;  &lt;div class=&#34;notice-content&#34;&gt;&lt;p&gt;Lund University wrote an article about our project. You can find it &lt;a href=&#34;https://www.fysik.lu.se/artikel/pandemisakert-nar-fysikstudenter-redovisar&#34;  class=&#34;external-link&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;here&lt;/a&gt;.&lt;/p&gt;&#xA;&lt;p&gt;(Note: the article is written in Swedish).&lt;/p&gt;&lt;/div&gt;&#xA;&lt;/div&gt;&#xA;&#xA;&lt;div style=&#34;position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;&#34;&gt;&#xA;      &lt;iframe allow=&#34;accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share&#34; allowfullscreen=&#34;allowfullscreen&#34; loading=&#34;eager&#34; referrerpolicy=&#34;strict-origin-when-cross-origin&#34; src=&#34;https://www.youtube.com/embed/roK2gRDHWeE?autoplay=0&amp;amp;controls=1&amp;amp;end=0&amp;amp;loop=0&amp;amp;mute=0&amp;amp;start=0&#34; style=&#34;position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;&#34; title=&#34;YouTube video&#34;&gt;&lt;/iframe&gt;&#xA;    &lt;/div&gt;</description>
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      <title>Contact</title>
      <link>//localhost:1313/en/contact/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>//localhost:1313/en/contact/</guid>
      <description>&lt;p&gt;Email: &lt;a href=&#34;mailto:pi0274ne-s@student.lu.se&#34; &gt;pi0274ne-s@student.lu.se&lt;/a&gt;&lt;/p&gt;</description>
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      <title>CV</title>
      <link>//localhost:1313/en/cv/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>//localhost:1313/en/cv/</guid>
      <description>&lt;head&gt;&#xA;  &lt;link rel=&#34;stylesheet&#34; href=&#34;//localhost:1313/css/timeline.css&#34;&gt;&#xA;&lt;/head&gt;&#xA;&lt;h2 id=&#34;-education&#34;&gt;&#xA;  🎓 Education&#xA;  &lt;a class=&#34;heading-link&#34; href=&#34;#-education&#34;&gt;&#xA;    &lt;i class=&#34;fa-solid fa-link&#34; aria-hidden=&#34;true&#34; title=&#34;Link to heading&#34;&gt;&lt;/i&gt;&#xA;    &lt;span class=&#34;sr-only&#34;&gt;Link to heading&lt;/span&gt;&#xA;  &lt;/a&gt;&#xA;&lt;/h2&gt;&#xA;&lt;div class=&#34;timeline&#34;&gt;&#xA;  &lt;div class=&#34;timeline-item&#34;&gt;&#xA;    &lt;div class=&#34;dot&#34;&gt;&lt;/div&gt;&#xA;    &lt;div class=&#34;timeline-date&#34;&gt;2024 - &lt;i&gt;now&lt;/i&gt;&lt;/div&gt;&#xA;    &lt;div class=&#34;timeline-content&#34;&gt;&#xA;      &lt;h4&gt;M.Sc. in Computational Science (Physics)&lt;/h4&gt;&#xA;      &lt;p&gt;&lt;i class=&#34;fas fa-university&#34;&gt;&lt;/i&gt; Lund University, Sweden 🇸🇪&lt;/p&gt;&#xA;      &lt;p&gt;&lt;i class=&#34;fas fa-lightbulb&#34;&gt;&lt;/i&gt; &lt;code&gt;Numerical ODE/PDE solvers&lt;/code&gt; &lt;code&gt;MATLAB&lt;/code&gt; &lt;code&gt;Monte Carlo&lt;/code&gt; &lt;code&gt;Subatomic Physics&lt;/code&gt;&lt;/p&gt;&#xA;    &lt;/div&gt;&#xA;  &lt;/div&gt;&#xA;  &lt;div class=&#34;timeline-item&#34;&gt;&#xA;    &lt;div class=&#34;dot&#34;&gt;&lt;/div&gt;&#xA;    &lt;div class=&#34;timeline-date&#34;&gt;2020 - 2024&lt;/div&gt;&#xA;    &lt;div class=&#34;timeline-content&#34;&gt;&#xA;      &lt;h4&gt;B.Sc. in Physics&lt;/h4&gt;&#xA;      &lt;p&gt;&lt;i class=&#34;fas fa-university&#34;&gt;&lt;/i&gt; Lund University, Sweden 🇸🇪&lt;/p&gt;&#xA;      &lt;p&gt;&lt;i class=&#34;fas fa-lightbulb&#34;&gt;&lt;/i&gt; &lt;code&gt;Python&lt;/code&gt; &lt;code&gt;Deep learning&lt;/code&gt; &lt;code&gt;Monte Carlo&lt;/code&gt; &lt;code&gt;C#&lt;/code&gt; &lt;code&gt;SQL&lt;/code&gt;&lt;/p&gt;&#xA;      &lt;li class=&#34;timeline-content&#34;&gt;Bachelor thesis: &lt;i&gt;&#34;Scrutinizing the Schmidt Test and Exploring the Use of Machine Learning for Statistical Assessment of Radioactive Decay Chains&#34;&lt;/i&gt;, Lund University Publications, 2024. &lt;a href=&#34;http://lup.lub.lu.se/student-papers/record/9168893&#34; target=&#34;_blank&#34;&gt;Open Access&lt;/a&gt;&lt;/li&gt;&#xA;    &lt;/div&gt;&#xA;  &lt;/div&gt;&#xA;&lt;/div&gt;&#xA;&lt;hr&gt;&#xA;&lt;h2 id=&#34;-professional-experience&#34;&gt;&#xA;  💼 Professional Experience&#xA;  &lt;a class=&#34;heading-link&#34; href=&#34;#-professional-experience&#34;&gt;&#xA;    &lt;i class=&#34;fa-solid fa-link&#34; aria-hidden=&#34;true&#34; title=&#34;Link to heading&#34;&gt;&lt;/i&gt;&#xA;    &lt;span class=&#34;sr-only&#34;&gt;Link to heading&lt;/span&gt;&#xA;  &lt;/a&gt;&#xA;&lt;/h2&gt;&#xA;&lt;div class=&#34;timeline&#34;&gt;&#xA;  &lt;div class=&#34;timeline-item&#34;&gt;&#xA;    &lt;div class=&#34;dot&#34;&gt;&lt;/div&gt;&#xA;    &lt;div class=&#34;timeline-date&#34;&gt;2018 - 2020&lt;/div&gt;&#xA;    &lt;div class=&#34;timeline-content&#34;&gt;&#xA;      &lt;h4&gt;Sales Specialist&lt;/h4&gt;&#xA;      &lt;p&gt;&lt;i class=&#34;fas fa-briefcase&#34;&gt;&lt;/i&gt; Jumbo Supermarkten, Netherlands 🇳🇱&lt;/p&gt;</description>
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      <title>Skills</title>
      <link>//localhost:1313/en/skills/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>//localhost:1313/en/skills/</guid>
      <description>&lt;h2 id=&#34;core-competencies&#34;&gt;&#xA;  Core Competencies&#xA;  &lt;a class=&#34;heading-link&#34; href=&#34;#core-competencies&#34;&gt;&#xA;    &lt;i class=&#34;fa-solid fa-link&#34; aria-hidden=&#34;true&#34; title=&#34;Link to heading&#34;&gt;&lt;/i&gt;&#xA;    &lt;span class=&#34;sr-only&#34;&gt;Link to heading&lt;/span&gt;&#xA;  &lt;/a&gt;&#xA;&lt;/h2&gt;&#xA;&lt;p&gt;From my background in physics and computational science, I have a strong foundation in numerical methods and Monte Carlo simulations for solving physical problems. I am particularly interested by nuclear physics. My &lt;a href=&#34;http://lup.lub.lu.se/student-papers/record/9168893&#34;  class=&#34;external-link&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;bachelor degree thesis&lt;/a&gt; is about applying machine learning on radioactive decay data. I am proficient in Python and have some exposure to C#, MATLAB, and SQL. I am very comfortable with GNU/Linux and Git workflows.&lt;/p&gt;</description>
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