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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 26 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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degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree in microbiology, biology, veterinary science, food science, or a related field. Approval and
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, might be for you! Responsibilities and qualifications Working with colleagues in the MULTIBIOMINE project, you will develop computational methods that use novel strategies to uncover hidden features in
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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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through their investor conference a co-investment from the College of Science and Engineering. This funding provides a unique opportunity to advance innovative medical device research and support four high
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The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship funded by the partner Liverpool Victoria General Insurance Group Limited, to commence on 1
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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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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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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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honours degree in materials science, physics, engineering, or a related discipline. The ideal candidate will be self-motivated, with an interest in both computational modelling and practical manufacturing