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-supervise BSc and MSc students, which allow them to develop necessary skills for the next steps in their career. Qualifications We are looking for candidates with diverse background to join our team. MSc
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chemical engineering or possibly chemistry/physics and must have documented knowledge/experience in mathematical modeling of chemical/electrochemical processes/reactors. The candidate must be self-paced and
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or possibly chemistry/physics and must have documented knowledge/experience in mathematical modeling of chemical processes/reactors. The candidate must be self-paced and highly ambitious with very good
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strong backgrounds in computational biology, mathematics, statistics, or computer science. Prior experience in probabilistic modelling and/or deep learning will be a significant advantage. At a minimum
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mathematics. We believe in diversity to create a safe and supportive work environment for all. Past EMA alumni include successful scientists, both within industry and academia. This PhD scholarship is part of a
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with a master's degree in transportation engineering, mathematics, statistics, computer science or a related discipline. In addition, you should meet the following requirements: Excellent quantitative
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postdoc. You must have Research experience, skill in mathematical modelling of relevant physical glacier processes (ice sheet and mountain glaciers), with proficiency in MATLAB/Python/Fortran, and related
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application form, and attach all your materials in English in one PDF file. The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in
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background in supply chain optimization, mathematical modeling of production systems, chemical/bioprocess simulation and quantitative sustainability assessment. Your primary tasks will be to: Design a
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or applied mathematics / computer science, with a keen interest in scientific programming, machine learning and data science. Your curiosity drives you to explore and understand the intricacies of wind