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formal qualification, you must hold a PhD degree (or equivalent) in the area of microbiology/biotechnology. As you will join a very well-functioning and collaborative project group you must thrive
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describe concrete examples of your own relevant previous work involving these topics). Experience with modelling is an asset. As a formal qualification, you must hold a PhD degree (or equivalent). We offer
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conferences, and actively participate in knowledge exchange across disciplines. As a formal qualification, you must hold a PhD degree (or equivalent). Specifically, a PhD in Materials Science and Engineering
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have successfully defended a PhD thesis in a relevant discipline (computational mechanics, mechanical/aerospace engineering, simulation technology, applied mathematics, etc.). If you have not received
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visit our homepage . Expectations and qualifications Applicants must hold an MSc, DVM, or MD degree, and a PhD, with research experience within one or more of the following areas: Clinical or molecular
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: PhD in Veterinary Epidemiology or a related field, or demonstrated experience with epidemiology Strong quantitative data analysis skills Applied understanding of epidemiological principles Demonstrated
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of the IML group within prediction of T cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working on other projects within the group and
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the competences of the IML group within prediction of T cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working on other projects within
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/cognition-and-clinical-neuropsychology/ , at the Department of Psychology, University of Copenhagen. Qualification requirements The candidate must have obtained a PhD degree in mathematics, statistics
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wishes to rely Copy of PhD diploma, if Phd diploma has not yet been received, please include statement from your supervisor Shortlisting may be used in the assessment process. Incomplete applications and