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to: Demonstrate a solid training background in Proteomics and Cell assays. Candidates with mostly Synthetic/Medicinal Chemistry training are discouraged from applying. Experience in protein
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Rutgers, which involves collaboration with faculty with backgrounds in fluid dynamics, combustion, heat transfer, and solid mechanics. Position Status Full Time Posting Number 26FA0856 Posting Open
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science and engineering, metallurgy, ceramic science and engineering, and chemical engineering. Materials synthesis, inorganic chemistry, solid state and solvothermal thermochemistry, powder processing
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, preferred. Solid background in experimental design, statistics and scientific writing, preferred. Background in neuroscience and/or cell biology, biomedical engineering or computer science, highly
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, preferred. Solid background in experimental design, statistics and scientific writing, preferred. Background in neuroscience and/or cell biology, biomedical engineering or computer science, highly
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, preferred. Solid background in experimental design, statistics and scientific writing, preferred. Background in neuroscience and/or cell biology, biomedical engineering or computer science, highly
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, preferred. Demonstrated experience with electrophysiology data analysis, preferred. Strong quantitative and programming skills (e.g., MATLAB , Python, R) preferred. Solid background in signal
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electrophysiology data analysis, preferred. Strong quantitative and programming skills (e.g., MATLAB , Python, R) preferred. Solid background in signal processing, statistics, or computational
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experience with electrophysiology data analysis, preferred. Strong quantitative and programming skills (e.g., MATLAB , Python, R) preferred. Solid background in signal processing, statistics, or
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, preferred. Demonstrated experience with electrophysiology data analysis, preferred. Strong quantitative and programming skills (e.g., MATLAB , Python, R) preferred. Solid background in signal