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collaborative and interdisciplinary research environment. Preferred Qualifications Experience with computational structural biology, molecular modeling, or AI-assisted drug discovery is desirable but not required
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freezers, microscopes, centrifuges, gel electrophoresis, electroporators, qPCR thermal cyclers, and computers. Physical Demands and Work Environment Be capable of working in a biosafety cabinet for several
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techniques, gel electrophoresis, RNA isolation systems, PCR machines, autoclaves, Apple computers, Windows PC’s, electrophoresis equipment, and protein purification systems (e.g., tissue homogenization and
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Required Knowledge, Skills, and Abilities Hardware Design: Expertise in designing and fabricating flexible printed circuit boards (FPCB) and integrating them with biosensing frontends. Computational Analysis
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fellowship focused on real world evidence, health economics, patient outcomes, market access and policy research. The program provides interdisciplinary training through hands on industry research, academic