20 programming-language-"Italian-Institute-of-Technology---Ferrara" Fellowship positions at University of Texas at Austin
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, or free speech. Candidates should hold a PhD in a field such as History, Political Science, Public Policy, Criminology, Gender and Women’s Studies, Black Studies, Latino Studies, Ethnic Studies, Sociology
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: Must have obtained a PhD in clinical psychology from an APA-accredited program within 3 years prior to the start date. Preferred Qualifications: Experience with human research, administering cognitive
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defined benefit retirement plan, with 8.25% employer matching funds Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending
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. Required Qualifications · PhD in Geophysics · Experience with land seismic acquisition, DAS, and time-lapse monitoring · Proficient in computer programming · Extensive publication and presentation record
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have been received within the last three years, 1 year of experience with machine learning, natural language processing, AI tools and frameworks, data integration, and/or explainable AI. Proficiency in
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programming languages (e.g., R, Python, Linux). Record of interdisciplinary research across the biological, chemical, or geological sciences. Academic background(s) or research experience in aquatic
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calculating water footprints for water management studies Familiarity with one or more programming languages and machine learning toolkits Self-motivated and strong problem-solving skills Salary Range $70,000
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numerical and statistical modeling of natural systems. Working knowledge in programming languages such as MatLab and/or R. Experience with project management and ability to meet project goals in a timely
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meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation. ---- Retirement Plan Eligibility: The retirement plan for this position
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with related field, relevant experience, for similar arrangements. A strong background and track-record in molecular biology, structural biology, and infectious diseases. Capacity to plan your own work