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and contribute to grant development Present findings at laboratory meetings and national/international conferences Mentor graduate students and junior trainees as appropriate Required Qualifications PhD
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master’s, PhD, or MD/PhD program in computer science, data science, biomedical informatics, engineering, biostatistics, or a related field Experience with Python and machine learning methods Interest in AI
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, chemical processing, and laboratory support in materials research. Preferred Qualifications: PhD degree in mineral processing, hydrometallurgical engineering, chemical engineering, material engineering, or
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graduate students and research trainees as appropriate. Qualifications PhD, MD, or MD/PhD in cardiovascular biology, physiology, molecular biology, or a related field. Experience in patch-clamp
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holding a PhD degree in Biomedical Sciences or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also eligible
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of designing hypothesis-based experiments, executing studies, and preparing manuscripts. Requires a PhD in Biochemistry or related field; significant experience in molecular biology, biochemistry, and mouse
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have a background in life sciences, physical sciences, law and/or business. Graduate students (e.g., JD, MS, MBA, PhD students) interested in pursuing a career in technology transfer are strongly
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. Qualifications PhD, MD, or MD/PhD in genetics, stem cell biology, molecular biology, biomedical engineering, or related discipline. Experience in iPSC culture and differentiation. Experience with genome editing
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grant applications Participate in laboratory meetings, departmental research seminars, and multidisciplinary conferences Qualifications PhD, MD/PhD, or equivalent doctoral degree in molecular biology
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compliance with local policies and safety guidelines Qualifications: A PhD in the Biomedical Sciences or related discipline by appointment start date BACKGROUND CHECKS/CLEARANCES Employment with the University