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breakthrough or develop a transformative innovation or tool that can form the foundation of an independent research career/program in academia or industry. Required Qualifications: PhD in a quantitative life
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Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs
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pluripotent stem cells, organoids, and humanized mice. The ideal candidate will take initiative in designing, executing, and advancing research projects while actively engaging with interdisciplinary teams
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, United States of America [map ] Subject Areas: Human Centered Design Computer Science Public Health Architecture Urban Planning Salary Range: $62,232 to $88,745 Appl Deadline: 2025/12/01 11:59PM (posted 2025/11/05
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are especially interested in candidates with strong technical expertise in AI architecture design (e.g., Vision Transformers, foundation models, and federated learning), scalable computing on leadership-class
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, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, and Employee Discounts. Relocation Assistance is available for certain positions
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. Further, the incumbent facilitates the training of students, residents, fellows, and other trainees. CORE JOB FUNCTIONS Assists in planning and designing research experiments, establishes priorities, and
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assistance Expansive employee discount program including athletic tickets Free access to UT Austin's libraries and museums with staff ID card Free rides on all UT Shuttle and Austin CapMetro buses with staff
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, radiobiology or related field of study. Preferred Qualifications Experience with computational fluid dynamics. Experience with vertical flow assay technologies, including design, characterization, and validation
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biological fluids, and cell characterization (microscopic imaging, flow cytometry, and gene/protein expression and other omics tools). Literacy in statistical and/or computational data analysis, Design of