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Field
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, materials science and/or process engineering systems is an advantage Knowledge of relevant programming languages for data processing/evaluation, especially Python/ Matplotlib, is an advantage Independent
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, and/or numerical mathematics, as well as an excellent command of a programming language, preferably Python or C/C++. The candidate should have an interest in modeling and solving a complex, coupled
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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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ample opportunities for direct validation in biologically relevant settings. This interdisciplinary atmosphere has been a main catalyst for many past successes: https://europepmc.org/article/MED/35021063
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Proficiency in at least one programming language (Python, C++, …) Keen interest in neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale
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Infrastructure? No Offer Description Grantor: European Union HORIZON Marie Sklodowska-Curie Action (MSCA) Joint Doctoral Network Project portal: https://www.eu4greenfielddata.eu/ Highlights Duration: 1 Sep, 2026
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of the Automated Characterization Platform. Where to apply Website https://jobs.icn2.cat/job-openings/803/phd-student-in-computational-materials-s… Requirements Research FieldChemistryEducation LevelMaster Degree
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to learn are essential. Solid programming skills in Python and/or R; experience with reproducible workflows (Git, Snakemake/Nextflow, containers) is a plus. Interest in cancer biology, tumor microenvironment
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degree involving CFD, physics and/or numerical modelling Specific Requirements Programming skills (Python, C++) LanguagesENGLISHLevelExcellent Additional Information Benefits IFP Energies nouvelles is a
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innovative application proposed. Where to apply Website https://www.unilim.fr/recrutement-post-doctorant-xlim-anr-chaotiq2/ Requirements Research FieldEngineering » Electronic engineeringEducation LevelPhD