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related field. Experience in bulk/single-cell multi-omics data analysis and/or drug screen data processing. Experience in R or Python programming. Strong interest in translational cancer research and
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, Bioinformatics or related fields with an interest in biology or Biological sciences with a strong background in programming Expertise and experience in programming, Python or R Expertise to work in a Linux
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coding abilities, including skills in statistical analysis (e.g., R), computational methods (e.g., NLP methods), programming (e.g., Python), online research tools (e.g., Qualtrics) Strong interpersonal
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engineering, or another related field Strong knowledge of Machine Learning theory and methods, and related Deep Learning approaches Excellent knowledge of programming in Python and scientific libraries used
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with programming languages such as Python, MATLAB, or similar, and are interested in combining analytical modelling with data-driven or AI-based approaches. You are self-driven, curious, and able to work
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the following: A background in experimental neuroscience, animal behavior, or cognitive psychology Experience with data analysis, programming (e.g., Python, MATLAB, R), and statistical methods
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statistical learning for high-dimensional data, solid programming skills (including R or Python) and a strong interest in interdisciplinary research with applications in molecular biology and cancer research
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. Objectives: Using our in-house python-based nonlinear aero-thermo-structural finite element solver you will investigate, understand, and optimise the behaviour of flight structures subjected to relatively
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related field Great interest in energy technology, energy economics and policy issues Experience in programming with Python or a comparable programming language Experience in energy system modelling is an
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Experience in quantitative data analysis and in handling complex bodies of data in the use of at least one programming language (e. g. Python, Java ...) Language skills (CEFR-Level): English at least C1