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infection models to identify and characterize compounds active against these priority pathogens. Main duties and responsibilities Design and build a microscopy-based phenotypic screening pipeline (live
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initial problem specification, data gathering and analysis, model creation, and implementation Strong understanding of artificial intelligence applications and methodologies, such as working knowledge
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Chemistry to conduct fundamental and applied research at the intersection of machine learning and computational chemistry. In this role, you will develop physics-informed, symmetry-aware models
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) and contribute to LU-PCG’s research under the U.S. Department of Energy’s (DOE) GENESIS Mission. Research will involve developing fast neural surrogate models, state estimators/virtual sensors, multi
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interdisciplinary field of neuroscience. Our work spans a broad range of areas, including nervous system development and physiology, behavior, genetics, pharmacology, computational modeling, and neurological and
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methods that trigger and trap dynamic protein motions in real time. Integrating structural, electrophysiological, thermodynamic, and computational approaches into quantitative models of protein dynamics
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. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred skills: Microwave circuit design, terahertz optics, and their characterization. Knowledge about near
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-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The research will combine high-fidelity simulations, reduced transport modeling
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Researcher in Numerical Modeling of Sea Ice We are seeking a highly motivated Doctoral Researcher to join our ice mechanics research group at Aalto University to work on collaborative project between Aalto
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fundamental algorithms for producing policies for rich goal structures in MDPs (e.g. risk, temporal logic, or probabilistic objectives), and modelling robot decision problems using MDPs (e.g. human-robot