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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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, Python, CUDA o Open CL) -Manejo de sistema operativo Linux • Proficiency with mathematical software tools such as MATLAB • Strong programming skills (proven experience with programming languages such as
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, MetaPhlAn, or similar). Proficiency in programming languages for data analysis (e.g., R, Python). Experience with mass spectrometry-based metabolomics approaches, including LC-MS/MS. Experience operating
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RAS signaling and/or targeting is preferred Expertise in computational biology/bioinformatics (including proficiency in Python/R) would be desirable, though this skill is not essential Prior experience
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in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance
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, including languages such as Java, C/C++, C#, Python and JavaScript, as well as web technologies including HTML, CSS and AJAX/JSON-based APIs. Experience with database systems, including relational and non
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encouraged to apply. High proficiency in written and oral English. Specific Requirements Good and demonstrable programming skills, preferably in Python (e.g. bachelor thesis, software development experience
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above academic fields are encouraged to apply. High proficiency in written and oral English. Specific Requirements Good and demonstrable programming skills, preferably in Python (e.g. bachelor thesis
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to apply. High proficiency in written and oral English. Specific Requirements Good and demonstrable programming skills, preferably in Python (e.g. bachelor thesis, software development experience, etc.). A
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courses in Python (e.g. DCS 109D), and other additional upper level applied computing and/or data science courses within the broader DCS curriculum based on their area(s) of expertise. Candidates should