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sciences (preferably in computing, robotics, AI) a clear interest in the topic of the position excellent English communication skill computer science skill programming in C++ and python strong and
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Python for scripting and data analysis, metabolite ID via MS/MS and annotation (e.g. SIRIUS, HMDB, authentic libraries etc.), statistical uni- and multivariate analysis, data visualization (PCA score
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supervised by Prof. Dr. Suzan Verberne and Dr. Niki van Stein at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University. The focus is on explainability for multimodal foundation models
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for Advanced Computer Science (LIACS) at Leiden University, supervised by Dr. Flor Miriam Plaza del Arco, Prof. Suzan Verberne and Prof. Joost Broekens. More information about the Human AI cluster can be found
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project , a Dutch consortium led by dr. Folkert Boersma. You will be supervised by Dr. Folkert Boersma, Dr. Chiel van Heerwaarden and Prof. Guido van der Werf within the chair Meteorology and Air Quality
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. The required expertise includes raw UPLC-MS-collected data preprocessing with XCMS, MZmine or MSDIAL, normalization procedures, proficiency in R and/or Python for scripting and data analysis, metabolite ID via
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Programming in C++ and python Experience with ROS, Autoware and Matlab/Simulink recommended Experience in designing software systems General overview and understanding of working principles of sensors and
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machine control theory Programming in MATLAB, Python, C++ Working knowledge of optimization theory Knowledge of vector calculus and linear algebra The candidate should submit a research proposal for the
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, Prof. Suzan Verberne and Prof. Joost Broekens. More information about the Human AI cluster can be found at https://www.universiteitleiden.nl/en/science/computer-science/research/human-ai . Key
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. Flor Miriam Plaza del Arco, Prof. Suzan Verberne and Prof. Joost Broekens. More information about the Human AI cluster can be found at https://www.universiteitleiden.nl/en/science/computer