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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry
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Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Detailed Position Information The Department of Electrical and Computer
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activities of the FCP include field studies and laboratory experiments, modeling, and computational studies, involving marine and freshwater species and habitats. Comprehensive studies are being conducted
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peer-reviewed publications Preferred Qualification Familiar with various chemical analyses and characterization instruments Experience in process modeling using Aspen or other software and TEA analysis
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Cynwyd, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Mathematics Physics Management Science & Engineering Computer Science and Electrical Engineering (more
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performance. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market behavior Alpha Monetization. Blend quantitative
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We are seeking immediate post-doctoral positions in Alzheimer’s disease and related neurodegenerative diseases, by developing quantitative methods on transcriptomics datasets from stem cell models
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maps and model building. You should have a Ph.D. and have more than 2 years of experience in cryo-EM data processing and 3D map generation. You will work under the guidance of Dr. Maria Schumacher on a
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the materials characterization laboratory facilities. • Assist in perform modeling and/or experimental analysis (microscopy, spectroscopy) to investigate the fundamentals of radiation effects in electronics
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
: The candidate should have a strong background and training in theory and computational science related to molecular biophysics and biomolecular modeling, and should have significant prior research experience and