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recruited on the project. Full information on the two positions is available at https://jobs.ethz.ch/job/view/JOPG_ethz_yFljDVyQe8rGR1wwVL . The first doctoral candidate will work at ETH Zurich. The present
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. The role demands expertise in mixed-integer programming (MIP), fluency in Python, and the ability to deliver clean, modular, and maintainable production code. The position also plays a strategic role in
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programming language (Python or similar) and experience with UNIX/LINUX. (Required) Education, Licenses, Certifications & Personal Affiliations Master's Degree in quantitative methods, statistics or a related
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AI and in silico methods (Ref. LISBOA2030-FEDER-00719600; 2023.18347.ICDT and DOI https://doi.org/10.54499/2023.18347.ICDT ), co-funded by Lisboa2030, Portugal2030 and by the European Union and by
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. Additional Requirements Strong background in electrodynamics and excellent mathematical skills. Basic knowledge of computational electromagnetics. High proficiency in Python, MATLAB, Wolfram Mathematica
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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or Computational Biology or similar. Experience: Experience in bioinformatics, biostatistics, or biocomputing (with verifiable knowledge of R and/or Python programming). We are looking for a candidate with the
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collaboration with LuMIn at ENS Paris Saclay, as part of an ANR contract, with a consortium of six partners. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8214-ALEFRA-001/Candidater.aspx
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faculty and university research policies . You act with attention to quality, integrity, creativity, and cooperation. You have strong programming skills in Python and experience with machine learning and
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related field Great interest in energy technology, energy economics and policy issues Experience in programming with Python or a comparable programming language Experience in energy system modelling is an