199 phd-studenship-in-computer-vision-and-machine-learning PhD positions in United States
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computational chemistry and biochemistry studies as directed by Prof. William Goddard within the Materials and Process Simulation Center in the Division of Chemistry and Chemical Engineering Essential Job Duties
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modeling, multilevel (random effects) modeling, and analysis of data from complex samples Experience with management and analysis of big data Experience with machine learning and related approaches (e.g
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control under high inverter-based resources (IBRs). • Develop and apply artificial intelligence (AI)/machine learning (ML) techniques for power system planning, operation, control, and cybersecurity
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is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a
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service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available
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programs – specifically MS Office (Word, Excel, and PowerPoint). Maintain excellent lab notes and records. Demonstrated ability to work cohesively in a team and display initiative in anticipating and
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protocols. High degree of computer literacy. Excellent organization skills and ability to prioritize a variety of tasks. Careful attention to detail. Ability to demonstrate professionalism and respect
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reviewed based on availability of positions and funding. Start dates are variable, and these positions will be filled in a rank and series commensurate with experience. Qualifications MD, PhD, or equivalent
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research-focused tenure-track faculty position to lead an independent research program focused on spatial immuno-oncology, utilizing cutting-edge technologies (e.g., spatial transcriptomics, spatial
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pain), with a focus on with a focus on ion channels, neural circuits, and neuromodulation. Candidate must have completed the requirements for the PhD degree or equivalent in Neuroscience related fields