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CV · Pim Nelissen
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🎓 Education
Link to heading
M.Sc. in Computational Science (Physics)
Lund University
📅 Sep 2024 Present
Focus on numerical methods for ODEs/PDEs using MATLAB.
B.Sc. in Physics
Lund University
📅 Sep 2020 Jun 2024
Python Deep learning Monte Carlo C# SQL
Thesis: Machine Learning for Statistical Assessment of Radioactive Decay Chains
Topics: Monte Carlo simulation, deep learning, C#, SQL, Python
💼 Professional Experience
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Sales Specialist
Jumbo Supermarkten Oss, Netherlands
📅 2018 2020">
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<meta name="twitter:description" content="🎓 Education Link to heading M.Sc. in Computational Science (Physics)
Lund University
📅 Sep 2024 Present
Focus on numerical methods for ODEs/PDEs using MATLAB. B.Sc. in Physics
Lund University
📅 Sep 2020 Jun 2024
Python Deep learning Monte Carlo C# SQL
Thesis: Machine Learning for Statistical Assessment of Radioactive Decay Chains Topics: Monte Carlo simulation, deep learning, C#, SQL, Python 💼 Professional Experience Link to heading Sales Specialist
Jumbo Supermarkten Oss, Netherlands
📅 2018 2020">
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<meta property="og:description" content="🎓 Education Link to heading M.Sc. in Computational Science (Physics)
Lund University
📅 Sep 2024 Present
Focus on numerical methods for ODEs/PDEs using MATLAB. B.Sc. in Physics
Lund University
📅 Sep 2020 Jun 2024
Python Deep learning Monte Carlo C# SQL
Thesis: Machine Learning for Statistical Assessment of Radioactive Decay Chains Topics: Monte Carlo simulation, deep learning, C#, SQL, Python 💼 Professional Experience Link to heading Sales Specialist
Jumbo Supermarkten Oss, Netherlands
📅 2018 2020">
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CV
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🎓 Education
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<p><strong>M.Sc. in Computational Science (Physics)</strong><br>
<em>Lund University</em><br>
📅 <em>Sep 2024 Present</em></p>
<ul>
<li>Focus on numerical methods for ODEs/PDEs using MATLAB.</li>
</ul>
<p><strong>B.Sc. in Physics</strong><br>
<em>Lund University</em><br>
📅 <em>Sep 2020 Jun 2024</em></p>
<p><code>Python</code> <code>Deep learning</code> <code>Monte Carlo</code> <code>C#</code> <code>SQL</code></p>
<ul>
<li>Thesis: <em>Machine Learning for Statistical Assessment of Radioactive Decay Chains</em></li>
<li>Topics: Monte Carlo simulation, deep learning, C#, SQL, Python</li>
</ul>
<hr>
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💼 Professional Experience
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<p><strong>Sales Specialist</strong><br>
<em>Jumbo Supermarkten Oss, Netherlands</em><br>
📅 <em>2018 2020</em></p>
<ul>
<li>Managed product presentation and customer experience.</li>
<li>Occasionally led a team of 35 employees.</li>
</ul>
<p><strong>Sales Assistant</strong><br>
<em>Jumbo Supermarkten Oss, Netherlands</em><br>
📅 <em>2015 2018</em></p>
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🙌 Volunteering
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<p><strong>System Administrator</strong><br>
<em>DFRI Sweden</em><br>
📅 <em>Jun Aug 2023</em></p>
<ul>
<li>Maintained Linux infrastructure for a non-profit focused on digital rights.</li>
<li>Projects included Docker containers and Nextcloud instance management.</li>
</ul>
<p><strong>Digital Literacy Instructor</strong><br>
<em>City Library Oss, Netherlands</em><br>
📅 <em>Sep 2013 Jun 2014</em></p>
<ul>
<li>Taught digital skills to senior citizens in community sessions.</li>
</ul>
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🛠️ Skills
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<p><strong>Languages &amp; Tools:</strong><br>
<code>Python</code>, <code>MATLAB</code>, <code>TensorFlow</code>, <code>C#</code>, <code>SQL</code>, <code>Git</code>, <code>Linux</code></p>
<p><strong>Core Competencies:</strong></p>
<ul>
<li>Numerical simulation</li>
<li>Scientific computing</li>
<li>Deep learning pipelines</li>
<li>Version control and documentation</li>
<li>System administration</li>
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🧪 Workshops
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<li>
<p><strong>Programming with Fortran</strong><br>
<em>Leibniz Supercomputing Centre</em><em>Mar 1113, 2025</em></p>
</li>
<li>
<p><strong>Git, Code Testing &amp; Documentation</strong><br>
<em>EPFL CECAM (BioNT)</em><em>Feb 46, 2025</em></p>
</li>
</ul>
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🌍 Languages
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<table>
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<th>Language</th>
<th>Proficiency</th>
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<tr>
<td>Dutch</td>
<td>Native</td>
</tr>
<tr>
<td>English</td>
<td>IELTS Certified</td>
</tr>
<tr>
<td>German</td>
<td>Advanced</td>
</tr>
<tr>
<td>Swedish</td>
<td>Intermediate</td>
</tr>
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📖 Publication
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<p><strong>Bachelors Thesis</strong><br>
<strong>P. Nelissen</strong>, <em>Scrutinizing the Schmidt Test and Exploring the Use of Machine Learning for Statistical Assessment of Radioactive Decay Chains</em>, Lund University, 2024.<br>
📄 <a href="http://lup.lub.lu.se/student-papers/record/9168893" class="external-link" target="_blank" rel="noopener">Read Online</a></p>
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👤 About Me
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<p>I enjoy both in-depth technical challenges and broader scientific learning. Im an avid reader, enjoy the outdoors, and thrive in environments that balance curiosity, creativity, and rigor.</p>
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