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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
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, computational biologists, developers, PhD students and researchers with different backgrounds. We always aim for an open and creative environment. The research group is based at the Center of Hematology and
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Matter searches, gamma-ray spectroscopy, gravitational waves) The center currently consists of eight faculty members and more than 25 researchers and PhD students. The Center possesses the unique
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should have completed a PhD in Economics, possess solid theoretical skills and be used to present their work at international conferences. Website for additional job details https://emploi.cnrs.fr/Offres
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9 Apr 2026 Job Information Organisation/Company IMEC Research Field Computer science Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions
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of photovoltaic solar potential Duration: 3 months Maximum Duration Including Renewals: 3 months Monthly Maintenance Allowance: €1,851.00 Where to apply Website https://fenix.tecnico.ulisboa.pt/fenixedu-admissions
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health Duration: 12 months, full-time post Where to apply Website http://www.ucc.ie/en/ Requirements Research FieldBiological sciences » OtherEducation LevelMaster Degree or equivalent Skills
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IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
for applications in water stress mitigation, nutrient retention, and soil regeneration. This work directly contributes to water scarcity resilience and climate-smart agriculture. Job Qualifications PhD in Chemistry
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optics, and bio-medical implants. The Centre brings together a multi-disciplinary team of over 20 PhD and Post-Doc researchers in manufacturing engineering, instrumentation and optics, in fundamental and
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candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems (e.g. weather