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biomarkers. Dr. Ashis Kumer Biswas, PhD (Co-I) is an Assistant Professor in the Department of Computer Science and Engineering at the University of Colorado Denver and the Director of the Machine Learning Lab
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at the time of hire. PhD in Computer Science, Artificial Intelligence, Computational Linguistics, Machine learning, Computer Engineering or related fields Preferred Qualifications: Experience in developing and
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encompasses a broad array of topics including genetics of osteoporosis & scoliosis, bone biology, arthritis & joint biology, skeletal healing from the spine to limbs, stem cell biology & tissue engineering
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must meet minimum qualifications at the time of hire. Doctor in Philosophy (PhD) in Cancer biology/molecular biology/biochemistry or related field. Minimum of 2 years of cellular or molecular immunology
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, PhD, Alon Poleg-Polsky, MD, PhD and Benjamin Scholl, PhD. Examples of Work Performed Electroretinogram measurements Whole-cell patch-clamp electrophysiology Two-photon calcium imaging of cellular
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: Applicants must meet minimum qualifications at the time of hire. PhD in any area of biology or biochemistry At least one first-authored publication in an established scientific journal (publication in a pre
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of Colorado is committed to diversity and equality in education and employment. Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. PhD in genetics
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. Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. Graduated from an accredited college/university with a PhD in Genetics, Molecular Biology, Cancer Biology
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are treated with respect and dignity, and we encourage individuals from all backgrounds to apply. Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. PhD in
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, quantitative, and mixed methods to answer complex research questions. Lisa Abuogi, MD, MSc and Karen Hampanda, PhD, MPH jointly lead a program of federally-funded research focused on improving outcomes for women