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associate to join a recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC CMM researchers with drug discovery experts
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Standing or sitting up to 8 hours/day, lifting <30 lbs, may view computer up to 8 hours/day. Shift Some flexibility, generally Monday- Friday, 8-5 Job Summary This position is designed to have 60-70 percent
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and data acquisition. Collaborate with EXIT071 to advance dzITP technology for diagnostic and drug discovery applications. Optionally mentor or collaborate with MSc and PhD students involved in
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drug discovery/design. Mentorship is taken seriously and every effort will be made to ensure the candidate is able to achieve goals in the next stage of their career.The successful candidate will be
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Computer Science, Math, Statistics (in hand at time of hire) or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also
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Job Description We are pioneering true 3D culture of human liver models by high-resolution 3D printing to transform disease modeling and drug development. Join a project combining next-generation 3D
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facilities are also available for added convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance
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background in retinal anatomy and genetics, ocular surgical interventions, and ophthalmic examinations. The successful candidate is expected to assist the Principal Investigator in the design, conduct
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pathway to independence and opportunities for career advancement. The ideal candidate will have a PhD in computer science or related field utilizing computer science methods, strong expertise in medical
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development. Basic Qualifications: A PhD in computer science/engineering, electrical engineering, data science or a related field completed within the last five years. Experience of AI and efficient computing