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multidisciplinary team of eminent scientists and entrepreneurs. The successful applicant will have: A PhD in food science, food technology, biotechnology, protein chemistry, or related disciplines. Background in
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for these ingredients and technologies to be used in dairy food systems. The successful candidate will have: A PhD in Food Technology, Food Science, Food-related Chemistry or Physics. A strong commitment to develop in
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Physics Department established in New Zealand, and physics was a foundation discipline when the University opened in 1871. Today, the Department embraces innovative teaching methods, promotes a vigorous
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information technology. Specifically, you will work with a PhD student to: Perform detailed scanning probe microscopy (atomic force microscopy, piezoresponse force microscopy, and/or scanning tunnelling microscopy, etc
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device and biomedical research projects, with specific focus on bioimpedance-related research project. The successful applicant should hold a PhD Degree in Mechanical/Mechatronics Engineering with relevant
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supervision and training of postgraduate students. Kā pūkeka me kā wheako/Your skills and experience The successful candidate will be expected to have: • A PhD in cell biology, tissue engineering or a
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applicant should hold a PhD degree in Mechanical/Materials Engineering with relevant experience in computational modelling of biomedical systems and familiar with mechanical engineering experiments. This is a
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/ Kā pūkeka me kā wheako Successful candidates will have completed a PhD in a neuroscience field, and have research experience in stereotaxic surgery, optogenetics, ex vivo whole-cell electrophysiology
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for 2025 to be confirmed. "Fellows go Local" - ZUKOnnect meetings with fellows, staff, PhD students in town, helping to adjust in the local region supported by the Universitätsgesellschaft Konstanz
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doctoral degree (e.g. Doctor of Medicine, PhD, or equivalent) in a relevant discipline, such as epidemiology. • Experience with systematic review and meta-analysis. • Quantitative data analysis skills