1,593 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Warwick" positions at Nature Careers
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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The Sr Clinical Research Associate is responsible for performing data abstraction, collection, and entry to support clinical research. Develops, maintains, and/or monitors case report forms. Ensures
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collect and analyse health data, identify risks, advise government and experts, and develop new scientific methods. We are based in Berlin, Wildau and Wernigerode. Get started now Apply directly through the
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Job Description The Clinical Research Associate I OR II-RN is responsible for performing data abstraction, collection, and entry to support clinical research. Develops, maintains, and/or monitors
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flexibility to support our employees' needs and those of their families. Benefits information: www.skidmore.edu/benefits This position is covered by a collective bargaining agreement between Skidmore College
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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generations to come. Join Roche, where every voice matters. The Position This role is in Early Development Biometrics (EDB), a core function within Product Development Data Sciences (PDD) that provides
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environment and encourage candidates from diverse backgrounds to apply. Responsibilities: Assist with laboratory research on multiple projects. Perform experiments as directed, report and communicate data
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) to degrade or manipulate targets relevant to pediatric oncology, neurodegenerative disorders and sickle cell disease. This position will work closely with researchers in the Center of Excellence for Data
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interdisciplinary and international team of bioinformaticians, molecular biologists, and clinicians to identify (i) targetable lesions for cancer patients in high-dimensional data, including next-generation