15 algorithms-phd-"St"-"St" Fellowship positions at University of Texas at Austin in United States
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with rare, resistant, or genomically un-targetable cancers. Responsibilities Design and evaluate algorithms for treatment and response matching using integrated clinical and molecular datasets. Develop
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through direct engagement with scientists and public health professionals, as well as peer-reviewed publications Required Qualifications Candidates must have completed a PhD within the last 3 years in a
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administrative tasks. Required Qualifications PhD in Clinical Psychology, Experimental Psychology, Neuroscience, or a closely related field (to be completed by the start date). PhD must have been received within
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Foster interdisciplinary partnerships with UTMSI and external collaborators to advance shared research goals Lead scientific publications and present in scientific meetings Required Qualifications PhD
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salt nuclear chemistry Program development to create a sustainable research program Publications demonstrating quality work Required Qualifications PhD in nuclear engineering, chemical engineering, or
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based on the research results. Other duties as assigned. Required Qualifications PhD earned within the last 3 years in Operations Research and Industrial Engineering or a closely related discipline, with
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has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs
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communication processes for accessible climate science information. Co-designing youth participatory action research initiatives. Required Qualifications PhD received within the past 3 years in social sciences
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presentation, and manuscript preparation as part of a multidisciplinary team. Perform other related duties as assigned. Required Qualifications Doctoral degree, MD or PhD received within the past 3 years
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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