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Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
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– particularly statistical mechanics of disordered systems – to study fundamental computational limits of neural networks and their relation to structural and biological constraints in neural systems. As a PhD
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Actions Doctoral Network Program called ProtAIomics. The PhD candidate should not have lived or worked in Germany for more than 12 months within the last three years to be eligible for the position in
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and BOKU Vienna International collaboration and training within the MSCA network A fully funded, three-year PhD position starting March 1st, 2026 Who we are looking for We seek a curious and committed
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work Activities We are seeking a motivated PhD- student to join our teams working on bistable
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-performance computing. The working language is English; no German is required. Position & benefits This is a full-time PhD position with a competitive salary according to the German TV-L E13 scale (approx
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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The position comes with access to high performance computing resources and access to training
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Research Framework Programme? Horizon 2020 Reference Number BAP-2025-589 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD researcher will: Carry out
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 11 hours ago
Job Code: PhD 10/25 Job Offer from September 19, 2025 The Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) in Leipzig, Germany, is an internationally recognized research
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this PhD programme, the student will focus on developing an accelerated digital neuromorphic spiking neural network and its learning rules using FPGA devices. They will first implement on FPGA spiking neural