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, preferably with a background in behavioral neuroscience or signal processing (especially of bioacoustics data) - Programming experience (e.g. Python, R, Matlab, etc.) - Strong communication and
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languages and platforms (e.g., C/C++, Python, real-time operating systems). Research experience in artificial intelligence, real-time control systems, or adaptive system architectures. Familiarity with
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), life cycle assessment (LCA), tech-economic analysis, accounting and evaluation (preferred). Ability to work with large datasets and proficiency in data analysis software (preferably Python, though
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different ion activation methods affect peptide fragmentation, including work with a next-generation multi-mode trap instrument supporting both collisional- and electron-based dissociation Contribute
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. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process & microstructure with
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Job Description If you are curious and proactive scientist with expertise and interest in computational biology and data science, and you are looking to make a difference working on projects
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and Computer Vision Excellent programmer in Java / C / Python or equivalent Excellent at using Machine Learning software, e.g. PyTorch / TensorFlow / Scikit Learn Highly knowledgeable in mathematical
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, TensorFlow) and protein language models. Experience with programming (Python preferred) for bioinformatics or data science applications. Exposure to degradomics methods or post-translational modification
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valuable for specific decision-making tasks while safeguarding sensitive information and building trust among stakeholders. Each PhD project can approach privacy-preserving data sharing from different angles
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are looking for candidates who have experience with developing AI or machine learning models, as well as bacterial sequence analysis. You should be familiar with relevant programming languages such as Python