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, and/or machine learning. Preferably you finished a master in Computer Science, (Applied) Mathematics or related masters. Expertise in the field of visualization or visual analytics. You have good
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of academic skills through teaching courses and supervising master/bachelor theses within the department. Where to apply Website https://www.academictransfer.com/en/jobs/358940/phd-candidate-in-mathematical-o
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animal husbandry. The candidate can select where to place the main emphasis of the work and may also explore life-cycle analysis, human exposure, or cost-benefit modelling. You will work with NIBIO, NGI
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personal qualities: Required qualifications The applicant must hold a master's degree or the equivalent in social or cultural anthropology (thesis must be approved by the deadline) The requirements
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challenging, and the underlying mechanisms of release and redistribution are still not fully understood. Two principal mechanisms have been proposed: diffusion-mediated transfer for drugs with moderate
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are expected to orient more strongly towards hospital-at-home and strengthened collaboration with primary care and municipal services to support more integrated and coherent patient pathways. These developments
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based at IVM and collaborate with other researchers in the USA, Germany and the UK who will be recruited for this project. Your main tasks are to: Design and apply theories from the fields of behavioural
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PhD Student (f/m/d) | NMR structure of AP-L complex of hIAPP and its effect on fibrils and membranes
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 4 hours ago, the candidate must not have resided or carried out their main activity (work, studies, etc.) in Germany for more than twelve months during the three years immediately prior to the recruitment date, unless as part
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, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. To apply, please contact the main supervisor, Dr Clare Megarity
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engineering. To apply, please contact the main supervisor; Prof Michael Shaver - michael.shaver@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant