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Your Job: The main objective of this PhD project is to achieve a better understanding of the efficient propulsion of trypanosomes through complex crowded environments, mimicking biological tissues
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contribute to the development of the Institute’s academic programs, mainly aimed at master's students, but also for bachelor's degrees, on-the-job training and MOOCs. The applicant will participate in
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, digital twin enabled process development and life cycle assessment will be researched. Primary Supervisor: Prof Xichun Luo Additional Supervisor/s: Dr Matt Boyle Contact Details: For further details please
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involved in various research projects and contributes to capacity building in health data science both locally via SQUARE . Your profile: You have a master degree in biostatistics or data science or a
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Collaborating Centre of the World Health Organization. Your profile: You have a master degree in biostatistics or a related domain such as data science, mathematics or applied mathematics. You can demonstrate
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Qualifications Master or Honours About Swinburne University of Technology Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and
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, the project is timely. The combination of all three considerations for the development of novel snack foods is original and innovative with the potential for both human and planetary health benefit. The work
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/english/ and information about the BioComplexity section can be found here https://nbi.ku.dk/english/research/biocomplexity/ Principal supervisor is Professor Joachim Mathiesen, Niels Bohr Institute. Email
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are located in Copenhagen. We offer creative and stimulating working conditions in dynamic and international research environment. Principal supervisor is Prof. Jan H. Jensen, Department of Chemistry
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. Your qualities You have completed a Master degree physics, chemistry or another area related to environmental sciences with a strong quantitative mathematical background and practical technical skills