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laboratory notebooks. Monitor progress of research projects and coordinate with Principal Investigator and Program team to stay on budget and schedule to meet the milestones and deliverables. Follow standards
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advanced statistical machine learning, reinforcement learning, and gen-AI-driven decision models for supply chain and operations optimization. • Design scalable algorithms for demand forecasting, risk
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tools. * Familiarity with tensorflow and/or pytorch. * Demonstrated ability to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
rational approaches to drug therapy regardless of the area of clinical specialization. The graduate program through the Ph.D. in Biomedical Sciences, Pharmacology and Toxicology Concentration, is broadly
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Job Description Apply now Job Title: Postdoctoral Fellow PhD Division: Molecular and Human Genetics Work Arrangement: Onsite only Location: Houston, TX Salary Range: Hiring up to $74,263 FLSA Status
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date. Additional Required Qualifications Relevant Ph.D. in Electrical Engineering or Computer Science or related fields, or a relevant Master's Degree and required years of relevant experience. Strong
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on scientific problems, whether biomedical or other, and to applicants with a strong record of scientific productivity. The successful applicant must have a Ph.D. in Computer Science, Data Science, Statistics
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REQUIREMENTS The Tomato Genetics and Breeding Program in the Department of Plant Science at Penn State University is seeking a part-time researcher to assist with field-based tomato breeding and cultivation
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will be self-motivated, think critically, and thrive in a multidisciplinary environment that integrates experimental and computational approaches. General Responsibilities As a Researcher Senior Lead
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candidate with a strong background in computational fluid dynamics (CFD) and specialized expertise in hemodynamics associated with coronary artery disease (CAD). The ideal candidate will hold a PhD in