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Field
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: Experience with the structure and function of luciferases, insect biochemistry, working with bioluminescence in mammalian cells, and expeditions and field research are highly desirable. How to apply
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chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control
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volumes in frozen cell sections, providing unprecedented maps of the distributions of small molecules within the cell. Determining the spatial distribution of small molecules within cells is crucial
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description of the project [Outline of Laboratory] Our research group investigates a wide range of biological problems—from cell differentiation and multicellular dynamics to evolution and phase transitions in
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evaluate their antimicrobial efficacy. Key responsibilities include polymer preparation, in vitro cell assays, and biofilm studies. Experience in working with microbial pathogens and characterizing polymer
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AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic
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changes in microgravity conditions. d. Ability to perform cell culture and tissue models such as 3D tissue models and microfluidic systems to simulate microgravity. e. Understanding and experience with
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of next-generation organic energy technologies, including organic solar cells, thermoelectrics and electronic devices. We offer a postdoctoral position in computational materials science within the DOMMINO
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complex (multicomponent) matrices (foods, digestive products) and the host (cells, animals and humans) in synergy with the expertise available within the department; develop holistic models to simulate and
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Ridge National Laboratory (ORNL) seeks a motivated Postdoctoral Research Associate. This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling