12 bayesian-object-tracking Postdoctoral research jobs at Aarhus University in Denmark
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target trials, group-based trajectory modelling, mediation analyses, and Bayesian modelling approaches to investigate adherence to cancer treatment and recurrence. The research fellow will join a vibrant
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and learning occurs in a recursive Bayesian process by which the brain tries to minimize the error between the input and the brain’s expectation. In particular, MIB focuses on how music is involved in
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be considered an advantage if applicants can document A track record of research publications of a high international standard commensurate with the length of the applicant’s academic career Experience
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motivated postdoc with an interest in working on plant membrane proteins using a variety of biophysics and structural biology techniques. The candidate must have: A proven track record in the area of
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and/or nanofabrication being a plus. Who we are The Department of Physics and Astronomy is a department on Natural Sciences. The main objectives of the Department are to carry out research
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in planning and conducting ethnographic fieldwork Furthermore, it will be considered an advantage if applicants can document a track record of research publications of a high international standard
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applications. Your profile Applicants should hold a PhD in Immunology, Microbiology, Neuroscience, or similar. Essential Experience and an international track record in neuroscience, microbiology, or immunology
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management skills. A track record of research publications appropriate to career stage. A willingness to teach at bachelor´s and master´s levels in related subjects. The successful candidate is expected to be
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information can be obtained from Professor Mogens Nicolaisen (mn@agro.au.dk ), Tenure Track Assistant Professor Enoch Narh Kudjordjie (enochnarh@agro.au.dk), or Professor Mette Vestergård (mvestergard
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of Culture and Society. At the School of Culture and Society, the object of research and teaching is the interplay between culture and society in time and space: From the traditional disciplines