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- European Molecular Biology Laboratory (EMBL)
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-electron density, its spatial confinement, relaxation behaviour, and the resulting modification of optical constants—providing the basis for next-generation advanced manufacturing steps for GPUs or CPUs. Be
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of machine learning and clinical oncology, with access to a large multimodal research dataset, substantial GPU resources, and a collaborative scientific environment. Your tasks Design and implement LLM-based
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, optimization, or high-performance computing is highly desirable Experience with quantum software frameworks (e.g., Qiskit, PennyLane, Cirq) or HPC programming (MPI, OpenMP, CUDA, GPU computing) is considered
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European Molecular Biology Laboratory (EMBL) | Brandenburg an der Havel, Brandenburg | Germany | about 2 months ago
experimental, computational and theoretical approaches to study how cells and organisms interact with each other and respond to fluctuating environments. EMBL has a track record in establishing landmark data
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2026 - 15:37 (UTC) Country Germany 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 the Job related to staff
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feedback; optimize for real-time performance; distribute computations between GPU and device-proximal processors; ensure precise synchronization with visual and auditory stimuli. Real-Time Collision and
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• Access to modern computational infrastructure, including GPU clusters and supercomputers • Scientific freedom and excellent development opportunities • Salary according to the German public service pay
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and GPU servers for the delivery of the PC exercises, and jointly supervising the PC exercises during the course What you contribute Student on a STEM degree programme Good knowledge of at least one of
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plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU computing with CUDA/SYCL, MPI, Krylov solvers
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tumorboard workflows Access to unique longitudinal clinical datasets, established molecular tumorboards and high-performance computing infrastructure (including NVIDIA B300 GPUs) Funding for open-access