11 parallel-and-distributed-computing-phd Fellowship positions at University of Texas Rio Grande Valley
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computer and proficiency in software and research statistical applications. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and
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on application expertise and interest; Generation and analysis of mass spectrometry based exposomics data; Analysis of multiomics data; Analysis of MRI-derived imaging data; Provides guidance and support to PhD
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. Supervision Received General direction from the assigned supervisor. Supervision Given Guidance and support of PhD students in their dissertation projects as needed. Required Education Doctoral degree in Human
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Education PhD in Biology, Molecular Biology, Immunology or closely related field from an accredited University (based on funding restrictions degree may need to have been conferred within a set period
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Challenge grant. The successful candidate will work closely with the Principal Investigators (PIs) to develop and implement innovative research integrating machine learning, computer vision, and wildlife
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to cancer and other biomedical research. Performs other job-related duties as assigned. Supervision Received General direction from the assigned supervisor. Supervision Given None. Required Education PhD in
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ecology. Equipment Use of personal computer and proficiency in software and research statistical applications. Use of gas chromatography-mass spectrometry (GC-MS) and related research equipment. Working
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supervisor. Supervision Given None. Required Education Doctoral degree from an accredited University with a focus on STEM field (program). Preferred Education None. Licenses/Certifications None. Required
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supervisor. Supervision Given None. Required Education Doctoral degree from an accredited University with a focus on STEM field (program). Preferred Education None. Licenses/Certifications None. Required
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, morphodynamic, and landscape evolution models. Field experience in geomorphological and hydrological surveys, including the use echosounders and Acoustic Equipment Use of personal computer and proficiency in