11 parallel-computing "UNIS" Fellowship positions at University of Texas Rio Grande Valley
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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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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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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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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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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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Genetics from an accredited University. Preferred Education None. Licenses/Certifications None. Required Experience None. Preferred Experience None. Equipment Use of personal computer and proficiency in
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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
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instrumentation such as flow cytometry and confocal imaging. Prior experience in vaccine studies. Equipment Use of personal computer and proficiency in software and research statistical applications. Working
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Cancer or Molecular Biology, Genetics, Drug delivery, Bioinformatics, Biostatistics, Computational Biology, or other closely related biomedical field from an accredited University (based on funding