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-interior coupling and the response of the coupled system to extreme events. The project leader is Associate Professor Shahab Fatemi (shahab.fatemi@umu.se ), and the project includes collaboration with
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or computer science. Applicants should contact Associate Professor Ibrahim Khalil via ibrahim.khalil@rmit.edu.au and Professor Xun Yi xun.yi@rmit.edu.au with the following information to discuss eligibility: A
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of interest and inquiries to Associate Professor Khashayar Khoshmanesh at khashayar.khoshmanesh@rmit.edu.au . Expressions of interest should contain the following information: A one-page summary justifying
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but will be an advantage Applications Please submit an Expression of Interest (EOI) to Associate Professor Amin Sakzad Amin.Sakzad@monash.edu EOIs should include the following attachments: a cover
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not required but will be an advantage Applications Please submit an Expression of Interest (EOI) to Associate Professor Amin Sakzad Amin.Sakzad@monash.edu EOIs should include the following attachments
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associated with increased visceral fat, obesity and insulin resistance, increasing the risk of reproductive and cardiometabolic complications. Excess weight is prevalent in 60% of women living with PCOS and
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for the PhD education . Assessment The assessment of the applications will be mainly made by Professor Ahmad Arabkoohsar, receiving support from Associate Professor Lasse Røngaard Clausen at DTU Construct. We
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the National Institutes of Health, USA. The Computational Biophysics Group develops advanced physical and chemical simulation approaches to explore problems associated with membrane charge transport. Ion
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Are you passionate about applying computational approaches to solve problems in biomedicine? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a cutting-edge
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Post doc position in theory of machine learning at Department of Computer Science, Aarhus University
names of references for recommendations. Questions regarding the position should be directed to Professor Kasper Green Larsen (larsen@cs.au.dk ) The place of work will be Dept. of Computer Science, Aarhus