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Field
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of Research Experience1 - 4 Research FieldChemistry » Computational chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria The candidate must hold a PhD in physics, chemistry
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of collaboration with top researchers within cybersecurity, networking, AI planning, and cloud computing, both within our department and two other universities in Sweden (KTH and Umeå University). The project is
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 23 hours ago
qualified Post-Docs interested in Computational Social Science. This application call is targeted to the broad topic of artificial intelligence, computing, and society. Research Themes and Teams The Network
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- 23:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Framework Programme? Not funded by a EU programme Reference Number PLB/04/2026 Is the Job related to staff position within a Research Infrastructure? No Offer Description Post-doc (f/m/x) Ref Number: PLB/04
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scholar to join a multidisciplinary research program focused on understanding risk and resilience for psychiatric illness across development using multimodal human neuroscience approaches. The lab
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Application Deadline 30 Apr 2026 - 00:00 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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-ddi.alzheimersresearchuk.org/ ), is seeking a postdoctoral Research Associate with a strong background in mechanistic biology to join its established team. The ADDI is part of a network of world-class Drug Discovery Institutes
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group and our local, national and international networks Report your results in peer-review scientific publications and international conferences Teach and supervise PhD, MSc and BSc students as
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will use finite volumes methods combined with physics-informed neural networks (PINNs) which offer a flexible technique that merges data-driven approaches with the underlying physics principles, enabling