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with data center modeling is a plus. Hands-on 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
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, such as R, Python, or Machine Learning, to identify patterns in biological factors, disease and mortality; co-supervising and mentoring PhD candidates, MSc and BSc students; collaborating with national and
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such as Python, C++, MATLAB, or Unity (C#) for simulation and system development. - A strong research record, demonstrated by publications in high-impact journals and presentations at international
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Python. Strong analytical, writing, and communication skills in English. A collaborative mindset and interest in working across disciplines. Additional valued experience (not required but welcome
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: Data management and programming (e.g., Python) Life Cycle Assessment (LCA) Multiple Criteria Decision Analysis (MCDA) Multiple Objective Optimization (MOO) In case you do not have all the desired
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experience of solid-state batteries. Experience in materials characterization and associated techniques (SEM, XPS, X-ray tomography, etc.) Experience in analysis coding (Python or MATLAB). Consideration will
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field. Proficiency in deep learning and exceptional programming skills in python and preferably a compiled language such as Java or C++. Clear evidence of deep learning proficiency, reflected through
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, obtained not earlier than 7 years before the year of employment in the project (not including maternity leaves), Strong MATLAB and/or Python programing skills – signal analysis, statistics, neuronal modeling
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of LIDAR systems, especially FMCW LIDAR architectures Programming experience in MATLAB or Python for data analysis Hands-on experience building and optimizing test setups for photonic devices We are looking
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: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems, instrumentation, and performance measurement. Experience in processing environmental data (Python, R