205 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
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and/or related functions. Instructors are needed to teach classes depending upon need and available funding. Applications are accepted on a continual basis (unless otherwise indicated) and will be
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to provide non-tenurable level instruction and/or related functions. Instructors are needed to teach classes depending upon need and available funding. Applications are accepted on a continual basis (unless
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nanotubes; Graphene; Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend Base Stipend Travel Allotment Supplementation $82,764.00 $3,000.00
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. The project integrates synthetic organic chemistry, kinetic analysis, automation, and machine learning to establish next-generation mechanistic workflows for asymmetric organocatalysis. The project advances
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to acquire different kinds of images on large numbers of iPS cells in culture; machine learning algorithms and other image analysis strategies may be used to extract and test image features as predictors
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Protein and RNA flexibility and dynamics; NMR; Solution scattering; Structural biology; SAXS; SANS; Residual dipolar coupling (RDC); Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral
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biology; Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend Base Stipend Travel Allotment Supplementation $82,764.00 $3,000.00
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; Microscopy; Extracellular; Matrix; Cells; Protein; Secretion; Adhesion; Cytometry; Virus; Infectivity; vectors; titer; reproducibility; adenovirus; plaque; transduction Eligibility citizenship Open to U.S
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PREFERRED QUALIFICATIONS Experience with innovative teaching methods including problem-based learning (PBL), interactive large and small group presentations, and computer-based interactive teaching programs
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molecule cellular accumulation and compiling a proteome-scale atlas of chemically tractable vulnerabilities. The project will accomplish this by 1) using high-throughput mass-spectrometry and machine