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mathematics, signal/image procesing, machinelearning/deep learning and computer science. It will be an advantage to have: Scientific programming proficiency in Python, knowledge of deep learning libraries in
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for analysis of Hi-C (or related) data Fluent oral and written communication skills in English. Desired qualifications: Experience with software and/or pipeline development (using e.g. Python, C++, or similar
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prioritized Experience with gas handling and vacuum systems Experience with Python programming All candidates and projects will have to undergo an evaluation versus national export, sanctions and security
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development and programming (e.g. Python, C++, or similar) Experience with analysis of Hi-C (or related) data Experience with the use of high-performance computing (HPC) systems Proficiency in UNIX/Linux and
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mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
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, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
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/or Python are required. These should be documented, for example through a GitHub profile or similar. Familiarity with numerical methods for solving Maxwell’s equations, particularly in the context
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dynamics. Experience working in interdisciplinary teams. Proven skills in statistical analysis and mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc
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mammalian cell culture is required Documented knowledge in bioinformatics and programming (Python, R) is required Experience in LC-MS and mass spectrometry is required Experience from relevant research
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biology, molecular biology including mammalian cell culture is required Documented knowledge in bioinformatics and programming (Python, R) is required Experience in LC-MS and mass spectrometry is required