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Field
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, deep learning, and statistical modeling Strong programming skills (e.g., Python, R, TensorFlow/PyTorch) Experience handling large-scale ecological, biological, or remote sensing datasets Strong
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in written and oral English. Programming skills with Python. Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills
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, predict, and manage them remains fragmented across disciplines. The Understanding and Predicting Impacts of Climate Extremes under Global Change Doctoral Network (CLIMES DN) (https://www.climes.se/climesdn
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modeling Programming/scripting skills (e.g., Python, R) for data handling and visualization Strong interpersonal and cross-disciplinary collaboration skills What We Offer Innovative Research Framework
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, materials science and/or process engineering systems is an advantage Knowledge of relevant programming languages for data processing/evaluation, especially Python/ Matplotlib, is an advantage Independent
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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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(advanced) programming skills in C/C++. Proficiency in Python and/or MATLAB is an added advantage. You are a collaborative team player with excellent communication skills. You demonstrate a high level of
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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machine learning You have good programming skills in Matlab, Python You have proven your proficiency in English language equivalent to B2 level You are enthusiastic and result oriented You can work
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until obtaining a PhD Carry out research of good quality within the framework described above Academic publications and popular science dissemination Participate in the research group SIMLab (https