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Requisition Id 16530 Overview: Oak Ridge National Laboratory (ORNL) is seeking applicants for an Electric Motor Designer position to conduct projects, expand research, and lead research and
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electrochemistry and catalysis, and spin-controlled processes in molecular and biomolecular systems. Primary Responsibilities Design, execute, and interpret experiments probing spin-polarized charge transport
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) light-driven chemical synthesis The Extraction of Critical Minerals from Seawater by Porous Polymers Cool by Design: Harnessing Disorder for Solid-State Cooling Designing bespoke Raman active chemical
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, interpersonal, and communication skills are required. Prior experience with experimental design, programming of behavioral tasks, and data analysis. Technical skills (e.g. Python, R, Unix) are also highly desired
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. Empa is a research institution of the ETH Domain. In our research group, we design mechanically robust, multi-responsive polyurethane elastomer with backbone-integrated molecular switches. Our aim is to
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science field Flow cytometry experience Mouse handling experience Basic molecular technique experience Job Description: Design and execute experiments across mouse and human systems, including primary cell
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graduate research students within the RIT Integrated Photonics Group. Essential Duties include: Independently conducts research in integrated photonic packaging, including constructing hypotheses, designing
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fellow is required to catch the newest scientific information and design approaches to archive the goal. Has a strong background in molecular biology, genomics, and bioinformatics is desired. Baylor
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federally funded research. In addition, the Research Assistant Professor will: Provide leukemia-focused scientific leadership for the NIH-funded T-ALL research program Design, develop, and execute mechanistic
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 19 hours ago
(e.g. geometric deep learning, generative models, representation learning) to decode molecular physiology, pathology, and therapeutic design? Are you passionate about high-throughput biology and scalable