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models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science
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measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image
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these toolkits into biotechnology platforms and therapeutic reagents. Our research program integrates chemical biology, protein engineering, and cell biology techniques for therapeutic development, primarily in
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. Contribute to grant writing. Minimum Qualifications PhD in computer science, computational biology, or related field. Dissertation must have focused on development of neural networks for analysis of proteins
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] Subject Areas: Computational Biology / Data Analytics Machine Learning / Machine Learning Analytical Chemistry / Current Advances in Chemistry & Biochemistry Computational Science and Engineering
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include animal models as synergetic platform for preclinical development of therapeutics and molecular biology aspects of the diseases. A self-starter with strong interest in understanding virological
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various lab materials to ensure efficient functioning of the lab. Qualifications Essential Qualifications: PhD in biology, genetics, cell/molecular biology, biochemistry, or related fields is required. Pay
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Associate will assist a Principal Investigator Leon Shterengas in the Department of Electrical and Computer Engineering . The incumbent will conduct research on semiconductor photonic device nanofabrication
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(HL-LHC) upgrade. BNL serves as the host laboratory for the U.S. ATLAS Operations Program, the U.S. ATLAS HL-LHC Upgrade Project, the ATLAS Tier-1 computing facility, and is an active U.S. ATLAS Center
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with experience in the following biomedical engineering fields: Biomedical photonics/optoelectronics Biomedical nano- and microscale systems/fabrication Biomedical computation/modeling Biomolecular and