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Contract: Full Time/Fixed Term for three (3) years.Supervisor:Dr Mohamed Lamine Faycal BELLAREDJ, Assistant ProfessorDepartment of electrical engineering, Universite de Moncton (Moncton campus)Email
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of bioinformatics, biology, or related fields - M.Sc. is required. Key qualifications and qualities include: Experience in bioinformatics/computational biology; experience in protein structure prediction is
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computer science and information system engineering while collaborating in a publicly funded research project with our industry partner Encevo. In this project, the aim is to analyze and build a robust anonymization
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and multidisciplinary team. The successful candidate should have completed an MSc degree in ecology or environmental sciences (minimum grade B) and have documented skills in ecology (especially invasive
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 28 days ago
Assistant position, with the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute
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members of staff. Research in the Department is organised into six themes : Causality; Computational Statistics and Machine Learning; Economics, Finance and Business; Environmental Statistics; Probability
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to doctoral studies, the applicant must have basic eligibility and have completed a degree in engineering/master's degree in computer engineering/computer science or equivalent, completed course requirements of
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to doctoral studies, the applicant must have basic eligibility and have completed a degree in engineering/master's degree in computer engineering/computer science or equivalent, completed course requirements of
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/admissions/entry-requirements/minimum . Candidate Requirements Undergraduate honours degree or Master's by research degree in a relevant discipline (Computer Science, Robotics, Engineering or others related
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting