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provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal models. As AI capabilities advance, the computational
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and circuit manipulations in behaving mice. Develop and optimize behavioral paradigms. Conduct stereotaxic surgeries, viral targeting, optogenetic manipulations, histology, and anatomical validation
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/ektx4WpIkRxQshUAEfpDj1L6bQihLRRj/en?csid=5… Requirements Research FieldChemistry » Inorganic chemistryEducation LevelPhD or equivalent Skills/Qualifications Applicants must hold a PhD in Chemistry, Inorganic Chemistry
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Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 2 months ago
digestate, advancing the technology from bench to pilot scale (TRL 4–5). The work encompasses three main areas: (1) process optimisation, using AI-assisted experimental design to identify optimal operating
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will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses in
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identify the optimal foaming process parameters and study the effects of additives such as starch, silica and calcium carbonate on thermal, mechanical and water-related properties. They will also be
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how you can be a part of AgriLife and make a difference in the world! Position Information Responsibilities: -Develop ecohydrological modeling for plant water stress and irrigation optimization. -Study
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platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional microtumor models. The project
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conferences. Level of Decision Making: The postdoc will design and optimize experiments, particularly for Next Generation Sequencing workflows, including library preparation and data analysis. They will
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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