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. Strong programming skills (e.g., Python) and practical experience with AI/ML frameworks (e.g., PyTorch, TensorFlow). A critical thinker with a passion for the ethical and societal implications of AI and a
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Learning, or a related field. For Postdoctoral Fellows: A completed PhD in one of the fields mentioned above and a strong publication record. Strong programming skills in Python and practical experience with
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, energy systems optimisation, techno-economic forecasting, or agent-based modelling proficiency in scientific programming (preferably Julia, Python, or MATLAB) competence in data analysis and probabilistic
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must have: Documented experience with multimodal MRI, both in research and clinical use, especially within multiple sclerosis (MS). Strong programming skills, for example in Bash, Python, and R. Solid
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programming languages including C, C++, C#, Python. A4 knowledge of the theory and practice of structure elucidation by single crystal X-Ray diffraction, and other techniques for materials characterisation. A5
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proficiency in scientific programming (preferably Julia, Python, or MATLAB) competence in data analysis and probabilistic modelling techniques experience with energy modelling tools (knowledge of Plexos is
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-modal datasets (e.g., biological, imaging, environmental, or clinical data). Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with machine learning frameworks (e.g
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. Job Requirements: Ph.D. in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Proficiency in programming languages such as C/C++ and Python. Independent, highly analytical
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Python, MATLAB, C++, Julia, or similar Furthermore, experience within collaborative code development and usage of version control tools like git mixed finite element methods iterative numerical methods
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system dynamics and hydroclimate extremes. Strong programming skills including analysis of large hydroclimate datasets in Python or similar and creating analysis and visualization workflows on a