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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
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. in microbiology, immunology, systems biology, molecular biology, computational biology, or a related field. • Experience in one or more of the following areas: microbiome research, animal models
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Artificial Intelligence, Stochastic Modeling and Optimization, and Data-driven Decision-making with applications in supply chain and operations management. This position offers an exciting opportunity
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therapeutics will be tested in these models, such as vagus nerve stimulation and anti-inflammatory compounds. Some of these scientific questions will further address the complexity of innate immune signaling
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program. Licensed or license eligible as a Psychologist in the state of Texas. Experience in school-based mental health services, telehealth delivery models, and evidence-based therapy. Demonstrated
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More info on the PhD project The TOBI lab (Translational Onco-genomics and Bio-Informatics) has an open position for a highly motivated biomedical researcher with expertise and interest in
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behavior of pests, their response to pesticides, including physiological and genetic mechanisms of resistance, innovations in applied pest management research (e.g., molecular, computational modeling
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design of innovative analytical and computational techniques to analyze,integrate and model multimodal data for the onset and progression of AMD . In doing so,the successful postdoctoral fellow will
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to these challenges, working with high performance and distributed computing environments, working with large-scale machine learning models, and a proven research record of scholarly contributions through publications
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tools in heat and mass transfer, microfluidics, thermodynamics, bioengineering, micro/nanotechnology, and computational modeling. We are passionate about developing novel translational platform