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-based reasoning strategies for oncology, including tool-augmented inference, multi-agent or compound model workflows, process supervision, verifier-guided training, and reinforcement learning-based post
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year. Eligibility criteria Ph.D. in Biochemistry, Biology or related sciences, excellent research background. Experience in Immunology, FACS, FELASA animal experimentation preferred. Selection process As
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, computer science, applied mathematics, statistics, physics, engineering, or a closely related field, completed or near completion. Demonstrated expertise in generative AI, such as diffusion models, flow matching
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physicists to translate physical layer constraints into efficient C/C++ control firmware. Evaluation: Benchmark the system against standard IP fabrics and publish results in top-tier conferences (SIGCOMM, NSDI
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information science, broadly defined. Experience in topological materials/ topological quantum computation/ quantum geometry/ exposure to tensor network methods or and/or AI/LLM for physics would be a positive addition
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stakeholder engagement, NCCR CLIM+ will develop storylines of plausible futures encompassing the physical and social dimensions of extreme climate outcomes. The storylines offer narratives that allow our
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motivated and dynamic candidates with a strong background in early-Universe cosmology and the Standard Model of particle physics. Previous experience with numerical simulations of the early Universe and/or
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» Other Pharmacological sciences » Other Physics » Biophysics Researcher Profile Recognised Researcher (R2) Application Deadline 20 Oct 2026 - 21:59 (UTC) Country Switzerland Type of Contract Temporary Job
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motivated team player who thrives in a collaborative and interdisciplinary research environment. The ideal candidate possesses a PhD degree in chemistry or chemical engineering, materials science, physics
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energy-related applications. Our research portfolio spans fundamental materials chemistry, process–structure–property relationships, and application-driven R&D, in close collaboration with academic and