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Apply now The Metabolomics & Analytics Centre at the Leiden Academic Centre for Drug Research (LACDR) at Leiden University is looking for a: Postdoctoral Research Engineer: Innovative Engineering
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Postdoctoral position_Quantitative Profile – funded by FIS2 – BADGE project Microbial-Driven Bile Acid Modifications and Their Impact on Gut Ecology Codice grant: FIS-2023-03089 CUP: E53C25000390001
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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for working with both public health and/or environmental data/models, and experience working with an interdisciplinary team of researchers and stakeholders. This position is based at the Kansas Geological
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
: PhD in nuclear engineering, applied physics, computational science, or a closely related field; demonstrated experience in Multiphysics modelling, numerical methods for PDEs, and code verification and
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of reports, dissertations and end-of-study papers. Skills Expertise in the following fields: Chemical and process engineering. Modeling (first-principles and data-driven models), simulation and optimization
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of software engineering techniques to ensure interoperability of their modelling and mining ecosystem. This position will run from October 2025 (or shortly after) and it has an expected duration of 24 months. A
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We invite you to apply for a Postdoctoral Appointee position in the Chemical Sciences and Engineering Division (CSE) at Argonne National Laboratory. This position offers the opportunity
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analysis of cell signalling, this three-years postdoc position at DTU Bioengineering will fulfil your scientific and personal development in an international, multi-disciplinary, and curiosity-driven
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candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through