10 machine-learning-phd Fellowship positions at University of Texas Rio Grande Valley
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assigned; and performing other job-related duties as assigned. Supervision Received General direction from the assigned supervisor. Supervision Given None. Required Education PhD in Social Work or related
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). Preferred Education None. Licenses/Certifications None. Required Experience None. Preferred Experience None. Equipment Use of personal computer and proficiency in software and research statistical
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animals. Experience in microscopy and histology. Knowledge of statistics (e.g., ANOVA). Communication skills in spoken and written English. Equipment Use of personal computer and proficiency in software and
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analyzing research data or related laboratory work. Experience with molecular biology and cell base techniques and experience with mouse models. Equipment Use of personal computer and proficiency in software
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and proficiency in software and research statistical applications. Working Conditions Needs to be able to successfully perform all required duties. Standard office environment. UTRGV is a distributed
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probability. Published articles or preprints in Mathematical Biology/Ecology/Epidemiology/Neuroscience. Prior research mentoring experience. Prior interdisciplinary work. Equipment Use of personal computer and
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group. Equipment Use of personal computer and proficiency in software and research statistical applications. Working Conditions Needs to be able to successfully perform all required duties. Office
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). Preferred Education None. Licenses/Certifications None. Required Experience None. Preferred Experience None. Equipment Use of personal computer and proficiency in software and research statistical
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of personal computer and proficiency in software and research statistical applications. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel
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probability. Published articles or preprints in Mathematical Biology/Ecology/Epidemiology/Neuroscience. Prior research mentoring experience. Prior interdisciplinary work. Equipment Use of personal computer and