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in creating and evaluating machine learning models.•Familiarity with deep learning framework, such as PyTorch or Tensorflow.•Experience in data preparation, preferably in a bioinformatics context (data
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investigate end-to end guarantees of correctness. When successful, this will have a major impact on the way combinatorial optimization software is developed, evaluated, and used: the proofs produced
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of -developing and applying novel study designs for investigating interpersonal emotion (regulation) patterns -proposing and evaluating data modeling approaches to analyse dyadic time-series data-analysing
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