From f5c4f624688ccfeecf9363770b8a423e79e77c3f Mon Sep 17 00:00:00 2001 From: Pim Nelissen Date: Mon, 30 Mar 2026 12:04:33 +0200 Subject: [PATCH] point CV link to GitHub hosted file. fix gitea link to point to profile --- config.yml | 2 +- content/en/contact.md | 2 +- content/en/skills.md | 4 ++-- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/config.yml b/config.yml index 983a2a3..f0668bb 100644 --- a/config.yml +++ b/config.yml @@ -20,7 +20,7 @@ languages: main: - identifier: cv name: CV - url: https://git.pimnel.com/pim/CV/raw/branch/main/cv.pdf + url: https://github.com/pim-n/CV/blob/main/cv.pdf weight: 1 - identifier: skills name: Skills diff --git a/content/en/contact.md b/content/en/contact.md index 8ee78ca..b8ec05c 100644 --- a/content/en/contact.md +++ b/content/en/contact.md @@ -5,4 +5,4 @@ slug = "contact" Email: pi0274ne-s@student.lu.se -Phone: See my [CV](https://git.pimnel.com/pim/CV/raw/branch/main/cv.pdf). \ No newline at end of file +Phone: See my [CV](https://github.com/pim-n/CV/blob/main/cv.pdf). \ No newline at end of file diff --git a/content/en/skills.md b/content/en/skills.md index dda8fb4..49ebc65 100644 --- a/content/en/skills.md +++ b/content/en/skills.md @@ -9,9 +9,9 @@ From my background in physics and computational science, I have a strong foundat I am particularly interested in using those skills for peaceful applications of nuclear science. My [bachelor degree thesis](http://lup.lub.lu.se/student-papers/record/9168893) was about applying machine learning on radioactive decay data. I am proficient in Python, experienced with R and MATLAB, and have some exposure to C++, C# and SQL. I am very comfortable with GNU/Linux and Git workflows. -My master degree thesis will be on furthering the development of a Bayesian algorithm for multisource detection in mobile gamma spectroscopy. +I am currently working on my masters thesis. In the first half of my masters thesis I have developed PG-RAD, a Python simulation tool for generating realistic mobile gamma spectrometry data that mimics real-world data. It is particularly useful for simulating localization scenarios of radioactive point sources using car-borne spectrometry setups. In the second half of my thesis, I am using the generated data to quickly generate various scenarios, in order to test Bayesian source localization algorithms for their effectiveness at localizing sources as a function of source activity, source distance from the road, and more. -{{< notice tip >}}A selection of code can be found on my [git instance](http://git.pimnel.com).{{< /notice >}} +{{< notice tip >}}A selection of code can be found on my [git instance](http://git.pimnel.com/pim).{{< /notice >}} ---