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on developing a new multi-disorder prediction approach that integrates different sources of information. You work with analytical model development, extensive simulation studies and analysis of existing large
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methodologies, interfaces, and best practices to ensure model reusability and knowledge transfer across teams. Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/systemctlm-modeling
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for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a wide range of
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. This includes conducting finite element modeling, ship resistance and stability assessments, as well as overseeing AM process and reporting. The role also involves designing and validating connectors
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) “Hope” probe. The position contributes to ongoing research, data analysis, simulation efforts, and dissemination of scientific results from Hope observations. The funding for this position is provided by
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approaches, and performing coarse-graining to obtain effective models at various scales. Special Instructions Contact Information Jason Eldridge https://www.physics.harvard.edu/ Harvard Physics Department 17
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cover letter (maximum 1 page) Curriculum vitae (CV) Names and contact details of two references Copy of PhD degree certificate Union representatives: https://internt.slu.se/min-anstallning/facket
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University Work duties: This postdoctoral position is part of the AFLOW consortium supported by the Swedish Energy Agency and focuses on materials modelling of chemical stability in aqueous organic redox flow
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learning and/or statistics, Linux Desired skills: strong track record of papers on whole brain modeling, experience working with EEG (and/or MEG), fMRI, MRI + DTI (including tractography), simulation-based
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development of industrial machinery, in particular: Development of a modular infrastructure for the design, programming, and simulation of industrial machines, including support for digital twins and automation