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degree (completed or near completion) in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related quantitative field. A solid background in machine learning, statistics and/or
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, electrophysiology, and/or synaptic function Basic knowledge of molecular biology and immunohistochemical methods, as well as bioinformatics and statistics Strong motivation to pursue scientific research in
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qualifications: Knowledge of polymer processing and statistical experimental design (DoE) Collaborative mindset and enthusiasm for working in interdisciplinary teams Strong organizational skills and a structured
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-offs and synergies of land use decisions desirable Good knowledge of statistics and relevant software products (R, SPSS, jamovi or similar) Good knowledge of analysing spatial data (geoinformation