52 phd-rehabilitation-engineering-computer-science Postdoctoral research jobs at University of Miami
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postdoctoral associate with expertise in computational biology and/or bioinformatics to join our interdisciplinary group studying the functional genomics of tandem repeat expansions and related structural
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. Department Specific Qualifications Education: PhD in biostatistics, statistics, bioinformatics, computational biology, or a closely related quantitative field awarded within the last five years. Experience
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to changing priorities and work demands. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and
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assets. Knowledge, Skills, and Abilities: Knowledge and understanding of commonly-used concepts, practices, and procedures within the field of cancer biology. Ability to perform basic cell and molecular
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proposal submissions. Department Specific Qualifications Education: PhD in Biomedical Sciences or a related field (e.g., molecular biology, biochemistry, pharmacology). Certification and Licensing: N/A
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molecular biological and quantitative techniques including microscopy, flow cytometry, computational/mathematical modeling, and utilizes approaches from synthetic biology and complex biological systems
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and unit-level policies and procedures and safeguards University assets. Department Specific Functions The candidate should be interested in clinical and rehabilitation engineering research focused
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contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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Science, Environmental Science, Data Science, or other related fields Strong capabilities and demonstrated experience working with large climate datasets, high performance computing, and machine learning