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good written and spoken communication skills in English. Bonus points if you have: Programming experience Python or a similar language. Knowledge of open-source energy system modelling frameworks
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learning, data science, atmospheric sciences, geophysics, or related fields. Solid numerical modelling and programming skills (e.g., Python, TensorFlow, scikit learn) are essential, along with a basic
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friction. Coastal Engineering, 53(2), 149–165. https://doi.org/10.1016/j.coastaleng.2005.10.005 Dean, R. G., & Walton, T. L. (2010). Wave setup. In Y. C. Kim (Ed.), Handbook of Coastal and Ocean Engineering
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delivering presentations. In addition, it would be advantageous for applicants to demonstrate proficiency in at least one scientific programming environment such as Python, MATLAB, or R. Familiarity with
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data and Explainable AI or causal inference; strong programming skills (Python required); the ability to work in an interdisciplinary medical–AI–public-health team; Good command of English; Experience
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artificial intelligence systems. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is mandatory for this position. Prior experience with healthcare data environments accelerates
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. Mastery of R and Python is required to execute complex bioinformatics algorithms and statistical models. The applicant exhibits a deep understanding of human immunology and the physiological responses
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software engineering skills in Python. Strong background and research experience in astrodynamics/orbit determination and numerical methods. Experience in usage of PRIDE data is a strong plus. Experience in
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or computer science Experience with UNIX-like operating systems Mathematical and programming skills (Python, Machine Learning) Basic understanding of molecular forces and structures Excellent knowledge of written and
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. R, MatLab, Python) are expected as is experience in planning and executing fieldwork. Preferable you have experience with various telemetry methodologies to study fish behavior (e.g. PIT, radio