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to make statistical analyses more robust. We are looking for a research assistant to contribute to the development of bamojax (Bayesian modelling in JAX), our open-source Python toolbox for Bayesian
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-free gene expression systems and/or liposomes. You take an interest in liquid handling robots, Python and Bayesian optimisation. You are a team player and enjoy working in a multidisciplinary
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tactile body representation. You have experience with collecting and analysing EEG data. You have experience with common programming languages such as Matlab, Python, R or C++. You are a team player who
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with Dutch-speaking children and schools and communicating research findings internationally. You have experience with quantitative data analysis, preferably using tools such as R, Python, MATLAB, or
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in Python and experience with a deep learning framework such as PyTorch. You enjoy interdisciplinary work: you will interact with privacy researchers, legal scholars and energy-sector practitioners
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experience with cell-free gene expression systems and/or liposomes. You take an interest in liquid handling robots, Python and Bayesian optimisation. You are a team player and enjoy working in a
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experience with collecting and analysing EEG data. You have experience with common programming languages such as Matlab, Python, R or C++. You are a team player who possesses good social, communication and
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with respect to working hours during intensive testing phases. It would be advantageous if you are experienced in programming (e.g. in PsychPy/Python), and / or the analysis of fMRI data. What we offer
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models) or probabilistic modelling is a strong plus. You have good programming skills in Python and experience with a deep learning framework such as PyTorch. You enjoy interdisciplinary work: you will
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with Dutch-speaking children and schools and communicating research findings internationally. You have experience with quantitative data analysis, preferably using tools such as R, Python, MATLAB, or