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Field
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Transformers). Analysis of existing datasets. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python
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present. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python skills, preferably some
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., Python or C++) is essential Experience with machining processes or ML approaches are advantageous A high degree of motivation, initiative, independence Good language skills in German and/or English What
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of Python German language skills Required Documents CV Certificates Transcripts Application https://stellen.uni-kassel.de/jobposting/43adda426450194ce164d3ac1c9f5f98f49464dd0 https://www.uni-kassel.de/fb10
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(e.g., Python, MATLAB) Practical experience with laser optics, vacuum technology, cryogenics, and FEM simulations is highly desirable Proactive working style with high level of commitment in solving
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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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, exercise data and scripts (e.g., Bash, Python); creating exercise sheets and model solutions; conducting user tests Compiling new forensic datasets: researching or creating images, videos and text corpora
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with basic terms and concepts in ML (especially classification, hyperparameter optimization, fine-tuning, evaluation of models) Solid knowledge of Python is mandatory and will be tested in the interview
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data analysis and programming with Python or a comparable programming language You are highly motivated and able to work independently and analytically You have a high degree of self-organization and
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Engineering, or a related field Strong programming skills in Python and SQL; experience with C/C++ Experience in data modelling and dimensional modelling Experience with CI/CD workflows for data and software