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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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between faculty, postdoctoral researchers, PhD students, and external partners from academia and industry. The Department of Physics and Astronomy is one of the largest departments at Chalmers University
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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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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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-of-the-art experimental approaches Develop, optimize, and implement advanced high-throughput binding and neutralization assays for the characterization of viral variants and humoral immune responses Analyze
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 3 hours ago
the U.S., and (3) optimize produced water disposal operations to maximize stored volumes. The postdoctoral research fellow selected for this project will conduct research in collaboration with NETL federal
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of viral populations across oral samples. The successful candidate will have previous experience implementing and optimizing viral metagenomic analysis pipelines and working with commonly used command-line
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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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and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences and journals