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related field. You have a strong background in numerical modelling and programming (preferably Python). You will collaborate with colleagues who are AeoLiS and CFD specialists, so affinity with
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desirable. Knowledge of heavy-metal/lanthanide chemistry and spin-related effects (SOC and scalar relativistic effects) is highly desirable. Experience with scientific programming is highly desirable. Strong
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analytical and problem-solving skills. Experience with data analysis, numerical modelling or programming, for example in MATLAB, Python or similar tools. Good written and verbal communication skills in English
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working healthy and energetically with the vitality program. Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to
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working healthy and energetically with the vitality program. Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to
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Postdoc in Application of eXtended Reality for Inclusive Automated Vehicle and Road User Interaction
, setup, execution, and data collection. Strong skills in quantitative and qualitative data analysis. Strong analytic and programming skills (e.g., Python, C#) with proficiency in statistics. Ability
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welcome you to apply and hopefully join our team of dedicated professionals! Project description: Cancer is the second leading cause of death worldwide. Europe’s Beating Cancer Plan reflects a strong
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leave Attention for working healthy and energetically with the vitality program. Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible
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; experience with foundational AI model development/fine-tuning and machine learning and/or deep learning; strong programming skills (e.g., Python, JavaScript, PostgreSQL) with clear expertise in front-end and
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of groundwater-model concepts and parameters, calibration, sensitivity analysis, scenario analysis and uncertainty assessment. Programming and data-analysis skills in a reproducible scientific workflow