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postdoctoral Research Associate (computational biology and bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2026 or later. The ideal candidate
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scientists (graduate students and technicians) · Flexing one’s intellectual muscles to think out-of-the box for this difficult-to-cure cancer Required Qualifications at this Level · PhD (or doctoral degree
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. Job Description: A grant funded postdoctoral position is immediately available in the Department of Neurosurgery at the Duke University School of Medicine. The position will be jointly mentored by Drs
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approaches. Minimum Requirements: Ph.D. or equivalent doctorate (e.g. M.B.B.S., Sc.D., D.V.M.) This position is Onsite. The work is performed on-site or at a designated assignment location. Be Bold. Maintain
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., D.V.M.) This position is Onsite. The work is performed on-site or at a designated assignment location. Be Bold. Help to operationalize NeoPBl/NeoSelect technology for the Klemen Lab. Assist in development
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. Occupational Summary We are seeking a postdoctoral associate for a fully funded position focused on using DART (Drug Acutely Restricted by Tethering) to investigate the circuit basis of neuropsychiatric
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include analyzing clinical and simulated data, developing pulmonary disease models, and manuscript preparation. The position offers opportunities for professional development, mentorship, and collaboration
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animals. Manuscript preparation. Data analysis Maintain accurate laboratory documentation of experiments, including raw experimental data and laboratory notebooks. Follow standards of responsible conduct in
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-solving skills. Must adhere to strict safety requirements. Ability to work and communicate effectively in a dynamic group environment. Other Requirements: This position is onsite. The work is performed
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computational models of the immune response for multi-scale epidemic models. This position offers an excellent opportunity for recent graduates interested in applying quantitative and computational methods