50 DateCreated Last 3 Days Fellowship positions at University of Texas at Austin in United States
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Computer Science, AI, Networking, or a related discipline within the last 3 years Solid experience with AI/machine learning methodologies, particularly those applicable to network optimization. Proven ability in
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discipline; earned within the last three years. Strong background in linear algebra, numerical analysis, and machine learning. Experience in robotics is highly encouraged. Excellent written and oral
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internationally Required Qualifications PhD in nursing, or a related field from a U.S. institution, earned within the last three years. Desire to pursue a career in nursing research and scholarship Technical skills
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, including overseeing data analysis and dissemination, and mentoring and training junior scholars, and grant writing. PhD in nursing, earned from a U.S. institution in the last three years Desire to pursue a
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Geosciences, Hydrogeology, Civil Engineering, Petroleum Engineering or a related field within the last three years. Competence and experience with programming in languages like Python or MATLAB and a track
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heatwaves, extreme rainfall, and tropical cyclones. Required Qualifications PhD received within the last 3 years. Preferred Qualifications Ph.D. degree in Atmospheric Science, Meteorology, Climate Science, or
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field. PhD must be received within the last three years. Requires one or more publications focused on sexual and gender minority health research, and/or early life adversity research. Skilled mixed
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, neuroscience, engineering, or related discipline within the last 3 years Experience with either transcranial magnetic stimulation, digital signal processing, or machine learning Human subjects’ research
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brainstorm ideas. Required Qualifications Completion of the doctorate prior to the start of the position is required. PhD must have been received within 3 years of the start date. Doctorate must be in health
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have been received within the last three years. PREFERRED QUALIFICATIONS Experience working with planetary or terrestrial HF, VHF or UHF radar data; experience working with planetary data products SALARY