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Field
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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products, including vaccines and novel therapy veterinary medicinal products. Your primary role will be to assess data submitted by pharmaceutical companies in support of their applications for new marketing
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Qualifications Preferences Candidate should hold a Ph.D. in Neuroscience, Cell/Molecular Biology, or a closely related field. Type Benefited Staff Special Instructions Summary Additional Information The University
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Position Details Position Information Recruitment/Posting Title Temporary Research Assistant Job Category Staff & Executive - Healthcare - Administrative Services Department NJMS-Microbiology
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such approaches would be cost effective. To achieve this, you will be supported to undertake analyses using large data registries such as the Clinical Practice Research Datalink. This is an exceptional opportunity
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statement of future related research The names and contact information of at least two references. Please send these files in a single PDF document to Dr. Junli Liu (liu18@purdue.edu). The review will start
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if they are equally suit-able and qualified. Applications from people with a migration background are welcome. Please note our information on data protection in the application process at https://www.hmtm-hannover.de
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prototypes, conducting laboratory and field evaluations, and analyzing experimental data. The role also involves preparing technical documentation and contributing to scientific publications. Organizational
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experimental data. The role also involves preparing technical documentation and contributing to scientific publications. Organizational Status This position reports directly to Dr. Taghipour. This position will
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position is funded by multiple NIH projects, e.g., https://tinyurl.co m/ysxhmujvThe overall goal is to : (1) develop inference and dynamic prediction models using a wide variety of data, including clinical