186 computer-programmer-"https:"-"https:"-"https:"-"https:"-"CNRS" positions at Yale University in United States
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of shared research resources, ongoing collection of clinical specimens, and integration of laboratory data into research databases. This person will be responsible for overall program cohesion as
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neurodevelopmental disorders. The successful candidate will develop and apply experimental and computational approaches to understand gene regulation and disease mechanisms in neural development and to evaluate
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movement disorder program, therapeutic botulinum toxins clinics, and comprehensive advanced therapeutics and deep brain stimulation program. Close collaboration with experts in the fields of neurosurgery
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, or those who plan to work in the biotech or technology industries. Highly motivated candidates who are looking to enhance their laboratory skills and publication record are strongly encouraged to apply and
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organizational and administrative skills, attention to detail, accuracy, and ability to collaborate. 3. Ability to juggle multiple tasks and meet demanding deadlines. 4. Excellent computer skills (advanced
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analyses of data, using computer software. 10. Designs and implements quality control measures to ensure accurate collection and processing of data. 11. Contributes in-depth, original thought and relevance
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and kinetic modeling. A PhD in biomedical engineering, physics, or a related field is required. However, interested candidates with a strong computational background and interest in getting involved in
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University Retirement Account Plan · Paid time off · Disability coverage · Life insurance · Mortgage loan program · Commuter benefits · Yale Homebuyer program
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for systems and technical solutions. 3.Excellent written and oral communications skills and a strong facility with presentation development. Well-developed computer skills with demonstrated proficiency in Excel
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on resulting publications is supported. Education: This role is designed to prepare a post-graduate trainee for future educational goals by building expertise in computational biology, single-cell genomics