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to research, teaching, and departmental operations Requirements: • A completed doctoral degree in chemistry, bio technology or a related field. • Strong programming skills in Python, R, or similar
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mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to participate in developing research
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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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not intended to be a complete list of all responsibilities, duties, and skills required. Management reserves the right to revise the job or require different tasks to be performed as assigned to reflect
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English. Programming skills (e.g. Python, R). Ability to work in teams and high social/communicative skills. Strong interest in planning, carrying out, and presenting independant research. High commitment
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languages (e.g. FORTRAN, Python) is required. A strong background and experience in operating, analysing and visualising large datasets is desired. Track record of peer reviewed publications in high level
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nature of work but is not intended to be a comprehensive list of all activities, duties and responsibilities required. Develop and implement power system modeling tools, with emphasis on simulation and
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. Experience with building simulation models (e.g., EnergyPlus, IDA ICE or similar). Good understanding of building physics Proficiency in programming e.g. in MATLAB, Python or similar environments for modelling
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/or high-throughput data processing generated by NGS sequencing, HPLC/MS techniques, or digital phenotyping systems. Familiarity with computational and bioinformatics tools such as R, Python