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CV · Pim Nelissen
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🎓 Education
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2024 - now
M.Sc. in Computational Science (Physics)
Lund University, Sweden 🇸🇪
Numerical ODE/PDE solvers MATLAB Monte Carlo Subatomic Physics
2020 - 2024
B.Sc. in Physics
Lund University, Sweden 🇸🇪
Python Deep learning Monte Carlo C# SQL
Bachelor thesis: &#34;Scrutinizing the Schmidt Test and Exploring the Use of Machine Learning for Statistical Assessment of Radioactive Decay Chains&#34;, Lund University Publications, 2024. Open Access
💼 Professional Experience
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2018 - 2020
Sales Specialist
Jumbo Supermarkten, Netherlands 🇳🇱">
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<meta name="twitter:description" content="🎓 Education Link to heading 2024 - now M.Sc. in Computational Science (Physics) Lund University, Sweden 🇸🇪
Numerical ODE/PDE solvers MATLAB Monte Carlo Subatomic Physics
2020 - 2024 B.Sc. in Physics Lund University, Sweden 🇸🇪
Python Deep learning Monte Carlo C# SQL
Bachelor thesis: &#34;Scrutinizing the Schmidt Test and Exploring the Use of Machine Learning for Statistical Assessment of Radioactive Decay Chains&#34;, Lund University Publications, 2024. Open Access 💼 Professional Experience Link to heading 2018 - 2020 Sales Specialist Jumbo Supermarkten, Netherlands 🇳🇱">
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Numerical ODE/PDE solvers MATLAB Monte Carlo Subatomic Physics
2020 - 2024 B.Sc. in Physics Lund University, Sweden 🇸🇪
Python Deep learning Monte Carlo C# SQL
Bachelor thesis: &#34;Scrutinizing the Schmidt Test and Exploring the Use of Machine Learning for Statistical Assessment of Radioactive Decay Chains&#34;, Lund University Publications, 2024. Open Access 💼 Professional Experience Link to heading 2018 - 2020 Sales Specialist Jumbo Supermarkten, Netherlands 🇳🇱">
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🎓 Education
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<h4>M.Sc. in Computational Science (Physics)</h4>
<p><i class="fas fa-university"></i> Lund University, Sweden 🇸🇪</p>
<p><code>Numerical ODE/PDE solvers</code> <code>MATLAB</code> <code>Monte Carlo</code> <code>Subatomic Physics</code></p>
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<h4>B.Sc. in Physics</h4>
<p><i class="fas fa-university"></i> Lund University, Sweden 🇸🇪</p>
<p><code>Python</code> <code>Deep learning</code> <code>Monte Carlo</code> <code>C#</code> <code>SQL</code></p>
<li class="timeline-content">Bachelor thesis: <i>"Scrutinizing the Schmidt Test and Exploring the Use of Machine Learning for Statistical Assessment of Radioactive Decay Chains"</i>, Lund University Publications, 2024. <a href="http://lup.lub.lu.se/student-papers/record/9168893" target="_blank">Open Access</a></li>
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<h4>Sales Specialist</h4>
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<p><i class="fas fa-lightbulb"></i> <code>Leadership</code></p>
<li class="timeline-content">Managed product presentation and customer experience.</li>
<li class="timeline-content">Occasionally led a team of 35 employees.</li>
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<div class="timeline-date">2015 - 2018</div>
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<p><i class="fas fa-university"></i> Jumbo Supermarkten, Netherlands 🇳🇱</p>
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<h4>System Administrator</h4>
<p><i class="fas fa-server"></i> DFRI, Sweden 🇸🇪</p>
<p><i class="fas fa-lightbulb"></i> <code>GNU/Linux</code> <code>Docker</code> <code>Nextcloud</code></p>
<li class="timeline-content">Maintained Linux infrastructure for a digital rights non-profit.</li>
<li class="timeline-content">Migrated Nextcloud to containerised Docker instance.</li>
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<div class="timeline-date">2013 - 2014</div>
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<p><i class="fas fa-lightbulb"></i> <code>Teaching</code> <code>Organising</code> <code>Nextcloud</code></p>
<li class="timeline-content">I organised and taught a digital skills course to uplift senior citizens in the community.</li>
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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.</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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