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foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM
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empirical evidence. The project runs for 33 months and comprises three research components operating in parallel, each led by a postdoctoral researcher and integrated through monthly team meetings and
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educational programs or related programs, and you will be involved in supervising BSc, MSc and potentially PhD students whose work relates to composite mechanics and structural analysis. Through
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and plasmonic nanoparticles. You will contribute to both technical development and fundamental research. This may include improving parallelized optical detection, integrating optical tweezers with
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have: A PhD in electrical engineering, energy engineering, mechanical engineering, control engineering, operations research, applied mathematics, or a closely related field. Documented experience in
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more efficient use of energy. Approximately 25 colleagues work at the division, including 15 PhD students. On the international level we collaborate with universities and institutes in Europe, Asia, and
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ASIC implementation. You will carry out system modelling, design novel parallel processor architectures at the RTL level (using Verilog/SystemVerilog or VHDL), and drive the hardware-software co-design
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the content of the science they study. You will be an active member of RCNP. You will collaborate with the other postdoctoral researchers, PhD candidates and senior investigators, participate in seminars and
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research. Preferred Qualifications: Candidate should have a PhD in Solid Mechanics specialization. Experience with nonlinear elasticity, finite deformation mechanics, continuum mechanics, finite element
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Employment 1.0 FTE Gross monthly salary € 3,706 - € 5,760 Required background PhD Organizational unit Faculty of Science Application deadline 14 October 2026 Apply now Join an ambitious