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. Strong expertise in Mathematical Optimization and Modeling (e.g., MILP, Stochastic Programming, or related methods) Proficiency in programming (e.g., Python, Julia, or similar). Excellent written and
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programming (e.g., Python) and working with Linux/Unix environments. Solid mathematical/statistical skills. Preferred/desired qualifications Experience in applying for ESA projects, Horizon Europe, and similar
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, educational, or demographical outcomes. Familiarity with R, Python, Julia, or other relevant computing languages. Experience with register data or other types of big data. Training in application of genetic
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. Good knowledge of the topic of Cryospheric Processes is a requirement Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with
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criteria Strong skills in relevant programming languages, particularly python Knowledge of, and experience from, the maritime industry is an advantage Knowledge of generative models, reinforcement learning
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programming languages, particularly python Knowledge of, and experience from, the maritime industry is an advantage Knowledge of generative models, reinforcement learning, or geometric deep learning. Experience
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candidates may apply before completing their PhD degree. However, a documented proof of a PhD degree is required upon appointment Excellent programming skills (Python, Julia, R) and maintenance of code
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. Experience in analysing large environmental datasets using programming tools (e.g., Python, MATLAB). Applicants must be able to work independently and in a structured manner, and demonstrate good collaborative
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doctoral thesis and public defense are eligible for appointment. The candidate must have a strong background in scientific programming (e.g., Python) The candidate must have experience in developing
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modelling, including experience in using a programming language suitable for geospatial data analysis (e.g., R, Python). Experience in applying remote sensing methods, for instance in ecological, geophysical