11 parallel-processing-bioinformatics-"https:" Fellowship positions at University of Texas Rio Grande Valley in United States
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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
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an accredited university. Preferred Education None. Licenses/Certifications None. Required Experience None. Preferred Experience None. Equipment Use of personal computer and proficiency in software and research
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direction from the assigned supervisor. Supervision Given None. Required Education Doctoral degree in Cancer or Molecular Biology, Genetics, Drug delivery, Bioinformatics, Biostatistics, Computational Biology
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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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university. Preferred Education None. Licenses/Certifications None. Required Experience None. Preferred Experience None. Equipment Use of personal computer and proficiency in software and research statistical
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university. Preferred Education None. Licenses/Certifications None. Required Experience None. Preferred Experience None. Equipment Use of personal computer and proficiency in software and research statistical
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for this Presidential Research Fellowship Award: • Comply with all UTRGV Assistantship requirements. • Register for required coursework as soon as possible to ensure your scholarship is processed in a timely manner
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for this Presidential Research Fellowship Award: • Comply with all UTRGV Assistantship requirements. • Register for required coursework as soon as possible to ensure your scholarship is processed in a timely manner
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material science research, running a research laboratory, and supervising students. Equipment Use of personal computer and proficiency in software and research statistical applications. Working Conditions
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digital elevation model (DEM). Experience in using landscape evolution, flow routing, sediment transport, or hydrological models. Experience with drone survey and data processing. Field experience in