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Field
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programming skills in Python, MATLAB, C++, or similar scientific computing environments, including high-performance and GPU computing. A strong scientific track record, evidenced by high-quality publications
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. Advanced quantitative programming and data-analysis skills, preferably in Python, together with the ability to develop transparent, robust and reproducible modelling workflows. Experience working with large
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/SEA), and programming or data analysis in Python, MATLAB, Julia or similar tools. Great emphasis will be placed on personal skills. Join us at KTH KTH shapes the future through education, research and
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experience of building energy simulation and/or urban building energy modelling (UBEM). Strong programming and data-analysis skills (e.g. MATLAB, Python or equivalent). Very good command of spoken and written
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atmospheric datasets using programming languages such as Python, MATLAB or R. Experience with atmospheric data processing, quality assurance and statistical analysis. A strong publication record of peer
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ML domains, such as deep learning, reinforcement learning, or human-centered ML. Proficiency in programming languages (e.g., Python) and ML frameworks (e.g., TensorFlow, PyTorch), with evidence in
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, spectroscopy) Data analysis, where programming (e.g., R, Python, Matlab) is considered a big plus Transferable skilss Open to learn and develop Pro-active and problem-solving mindset Ability to break-down and
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. The ideal candidate holds a PhD in transport, operations research, civil engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in
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, or human-centered ML. ●Proficiency in programming languages (e.g., Python) and ML frameworks (e.g., TensorFlow, PyTorch), with evidence in the form of public (Github) repository. ●Excellent abilities in
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, knowledge of a scripting language such as Python, Perl, awk, or R, and knowledge of core formats and methods for handling genomic sequence and gene annotation data. Stipend $55,572.00 – $87,440.00 Yearly