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Field
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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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(beyond model training) Solid programming skills (Python required; C++/CUDA a plus depending on simulations) Interest in physics-based simulation, numerical methods, or computational engineering Motivation
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PostgreSQL database, further develop the dashboard (Dash/Python/Grafana), add missing features and automate deployment using GitLab. You support the project management with organisational tasks. What you
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mechanisms as well as the effectiveness and limitations of corresponding defense strategies. What you contribute Very good Python skills, which will be tested in the interview. Basic understanding of AI/ML
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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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) Familiar with basic terms and concepts such as: classification, hyperparameter optimization, fine-tuning, model evaluation Profound knowledge of Python is mandatory and will be tested in the interview
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-tuning, evaluation of models) Solid knowledge of Python is mandatory and will be tested in the interview Advantageous: ability to independently implement methods and procedures from scientific publications
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, geoinformatics, geoecology or related fields Programming skills (Julia, Python, MATLAB) and ability to work with time series and/or geospatial data Motivation to work at the interface of ML and environmental
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, Computational Biophysics, or a closely related field Strong programming skills (e.g., Python, C/C++) Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) Very good English language skills, ability
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(e.g. fuel cells, batteries, heterogeneous catalysts, interfaces) Proficiency in high-level programming languages, e.g. Python Previous supervision of graduate students, as well as laboratory