41 parallel-programming-"Multiple"-"Simons-Foundation" research jobs at University of Texas at Austin
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Associate degree in Nursing (ADN) from an accredited program, 1 year of relevant experience in an outpatient or clinical setting, Registered Nurse (RN) license in the state of Texas, Basic Life Support (BLS
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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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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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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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Eligibility: Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation. ---- Retirement Plan Eligibility
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, or other) Previous research experience with sediment infauna Programming experience or willingness to learn programming Preferred Qualifications Experience identifying infaunal invertebrates Experience with
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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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Program certification in Human Subjects Research Preferred: CPR or Basic Life Support (BLS) certification Working Environment and Equipment Standard office equipment Repetitive use of a keyboard May be
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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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/directory/kenneth-dunton ) The research program associated with this postdoctoral position is specifically focused on a coast-wide survey of seagrass distribution along the Texas Gulf Coast. The State