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experience in the fields of computational mechanics and computational geomechanics. Preferred Qualifications: Experience in the following areas is preferred: Experience in modeling geomechanical systems
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related dementias. Project Overview Leveraging newly developed brain organoid models, this project will: Utilize human iPSC lines from AD patients to develop multiple tiered brain organoid models
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learning. Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe Reference Number 2025-R0409 Is the Job related to staff position within a Research Infrastructure? No Offer
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Deadline 28 Aug 2025 - 08:35 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 21 Aug 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 16 hours ago
) Country Germany Application Deadline 28 Sep 2025 - 21:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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candidate will lead the design and modelling of thermally regulated DNA motifs and contribute to the development of an automated and renewable DNA computing prototype. The role encompasses both wet-lab and in
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engineering, computer science applied to urban infrastructure, data science, or a related field. Expertise in numerical modeling and simulation for urban systems. Proficiency in digital twin tools and platforms