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maligancies. The goal of these studies is to identify epigenetically regulated programs that become deregulated and contribute to the development of these diseases. Applicants should hold a PhD and/or MD degree
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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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., biology, ecology, evolution), strong bioinformatics skills, experience with analyzing eDNA, proven record of peer-reviewed publications, an ability to organize and lead field expeditions, and interest in
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, molecular genetics and bioinformatics, as evidenced by publication record preferred Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt
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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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or PhD in relevant field Experience: No prior experience required Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of
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planning and capacity building for new research initiatives, particularly those related to harm reduction and telehealth-based care. Mentor MPH and PhD students through collaborative research, manuscript
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necessary. CORE QUALIFICATIONS Education: PhD, MD degree required Experience: No previous experience required Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies
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complex data sets generated from experiments, often using bioinformatics tools and statistical methods to interpret results and draw meaningful conclusions. Publication and Dissemination: Writing and
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responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. MINIMUM QUALIFICATIONS Ph.D. in relevant field, or PhD in molecular genetics