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calculations, geometry optimization, and prediction of NMR parameters will be considered an advantage. The candidate should have excellent written and oral communication skills, strong organizational ability
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data.You will take ownership of the implementation and optimization of ML-driven models in our antiviral screening pipeline thereby unlocking the full richness of the multi‑parametric data using advanced AI
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science. It offers a novel perspective on understanding and managing uncertainty in large-scale infrastructure systems. For more details, see https://research.chalmers.se/en/project/12873 Who we are looking
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of navigating extremely large compositional spaces while simultaneously optimizing multiple target properties such as optical performance, stability, and sustainability. Who we are looking for We seek a highly
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-VLMs, tiny-VLAs; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy
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will contribute to the development, optimization, and characterization of cell lines from marine and aquatic species, working toward scalable, process-ready cell lines for cultivated seafood applications
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optimal decision-making. This post-doctoral researcher position is part of TUNED (TUnnelontwerp en engineering voor een geologische eindberging in kleilagen in NEDerland), a 4-year research project bringing
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, such as develop and validate and optimize Aspen simulations related to biobased processes with experimental data from lab/pilot-scale systems. Experience in performing LCAs in the forest and lied sectors
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. The Institut de Recherche en Gestion et Économie (IREGE) is a research unit of Université Savoie Mont Blanc (USMB). The researchers at IREGE, combining expertise in management and economics, pursue
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of the hamstrings during push-off can enhance gait after stroke. This position builds on those findings: you will adapt an existing FES shorts system for stroke rehabilitation, test and optimize it with patients