92 phd-computational-intelligence-"University-of-Exeter" Postdoctoral positions in Sweden
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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality
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facilities that are highly aligned with the goals of the project. Who we are looking for We seek candidates with the following qualifications: To qualify for the position of postdoc, you must have a PhD degree
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postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and
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requirements A PhD or equivalent research qualification within the subject of the position. Very good oral and written proficiency in English. Solid background in small-molecule characterization. Ability to work
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, collect and analyze relevant data. Qualifications For this position, applicants must have a PhD in sociology or another discipline that is deemed relevant in relation to the research being conducted within
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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to develop solutions with real world relevance and impact. This project will be carried out in close collaboration with researchers from the Division of Material and Computational Mechanics at IMS and the
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the time you start (you can apply before they are met e.g. during your PhD). A doctoral degree (PhD or equivalent) in an area relevant to the announcement. Everyone is welcome to apply but due to regulations
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gas, Explore applications. Duties also include supervision of master and doctoral students. Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or
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research environment is characterized by a modern and advanced methodology and has a strong international profile. The institute has 30 research groups with a research staff of 200, of which 60 are PhD