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, or computational imaging; You have strong skills in digital signal processing (DSP), including familiarity with machine learning or deep learning; You have proficiency in scientific programming (e.g., Python, MATLAB
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Aerospace Engineering, Aeronautics or a comparable degree, thorough knowledge of AI/ML methods, acoustics, and air traffic management are preferred, as well as excellent programming (Python, Java, C++, …) and
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(especially Python) and use of ML/NLP tooling (e.g., PyTorch/Transformers, spaCy), plus fundamentals in MLOps/experiment tracking (e.g., DVC/MLflow/Git). Very good written and spoken German and English skills
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in C++ and/or Python is expected, and experience in model analysis and parameter optimisation is beneficial. Experience in machine learning and neural networks is desirable. The successful applicant
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biology, pharmacology and/or immunology. Experience in statistical bioinformatics, including developing analysis pipelines and applying programming (R/Python) to genomic/transcriptomic data. Strong written
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, optimization, control, probability/statistics, game theory, mechanism design, or machine learning (at least one) Programming experience (e.g., Python, Julia) Strong analytical thinking and problem-solving
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Science, Chemistry, Computer Science, or related disciplines. Knowledge: - DFT-based methods and molecular dynamics. - Machine learning, and data analysis - Knowledge of programming (Fortran, Python
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an allied field. An MSc degree in a relevant area is desirable though not necessary. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning
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, or improvement projects. Competence in programming and analytical tools (e.g., R and Python). Experience with Principal Component Analysis (PCA) and cluster analysis in health research. Proficiency in English
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experience with new IBR models (e.g., WECC REGFMA1, REGFMB1, vendor-provided models) is a plus. Experience with software development in Python, C++, or other programming languages. Hands-on experience