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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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to secure funding and disseminate findings focused on AI and informatics-driven educational innovations. Integrate large-scale educational and clinical datasets into AI-driven learning systems to improve
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peer-reviewed journals. - Present research findings at national and international conferences. - Mentor and support graduate and undergraduate students in the lab. - Contribute to grant writing and
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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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QUALIFICATIONS Education: PhD or Doctorate degree Medicine (MD) required Experience: No previous experience required Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies
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, processes, and computer programs as needed. Must be able and willing to maintain a high standard of personal cleanliness and utilize protective gear to protect the health of the animals. Experience with
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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
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-time Postdoctoral Associate to join the laboratory of Dr. Rivka Stone MD PhD at the Wound Healing and Regeneration Research Program. The Stone Laboratory is engaged in two major funded areas of wound
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, meetings, and share responsibilities to promote an efficient and inclusive research environment. Maintain laboratory safety protocols, including chemical handling, waste disposal, and proper use of Personal