147 molecular-modeling-or-molecular-dynamic-simulation PhD positions in United States
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Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Background Investigation Statement: Prior to hiring, the final candidate(s
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for carbohydrate characterization, such as Mass Spectrometry (MS) for oligosaccharides and polysaccharides, linkage analysis, substitution patterns, and molecular weight determination, is preferred. Candidates
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on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage data collected from various sources, such as
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
the molecular mechanisms underlying rare diseases and autoimmune disorders. Through innovative approaches such as gene editing and cell therapy, we aim to develop novel therapeutic strategies to combat
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strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives
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machine learning for next-generation wireless networks, (ii) Foundations of semantic communications and age of information, (iii) Stochastic geometry and spatial modeling of large-scale wireless systems
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of immunology and molecular biology preferred. Candidates should have excellent scientific writing and strong oral communications skills Experience in leading research papers for publication and data
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Department BSD MIC - Chen Lab About the Department The Jueqi Chen Research Lab focuses on the molecular mechanisms and functionalities of innate immunity and inflammation, with diverse approaches in
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seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis
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concepts with a diverse audience including molecular biologists and laboratory scientists. * Excellent oral and written communication skills. Preferred Qualifications * Familiarity with common NGS analysis