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to the guidelines of the RTG cur-riculum; supporting scientific graduation work (Bachelor/Master/Diploma) in the subject-specific re-search field; regular reporting on research progress to the supervising professors
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collective responses. The PhD candidate will be based in Göttingen, Germany, in the Department of Behavioral Ecology and Sociobiology (DPZ) , under the primary supervision of Dr. Kaja Wierucka and co
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for this scholarship you must: be an Australian or New Zealand student studying or applying for a PhD or Master of Philosophy and meet QUT’s admission requirements maintain full-time enrolment apply and be successful in
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analyses Demonstrated research background, inclusive of master thesis or articles published on pertinent subjects (e.g., time series analyses, ocean sensors, acoustic and optical data processing, automation
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@bristol.ac.uk or Prof. Ben Hicks ben.hicks@bristol.ac.uk How to apply: Prior to submitting an online application, you will need to contact the project supervisor to discuss. Online applications are made at http
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modelling. Application of the produced soft sensor to investigate the feasibility of process control. The project will be supervised by Prof. Jürgen Hubbuch and Dr.-Ing. Iris Perner-Nochta. The successful
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microstructure exhibiting improved physical and mechanical properties. The main objective of this project will be to develop a mechanistic understating of the microstructural evolution of the Additive
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microstructure exhibiting improved physical and mechanical properties. The main objective of this project will be to develop a mechanistic understating of the microstructural evolution of the Additive
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by a relevant master research project experience or course study); a theoretical background and an interest in inland-water carbon cycling especially methane processes, biogeochemistry, redox reactions
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trips Your profile Completed university degree (Master's, Diploma or equivalent) in biology, biochemistry, biotechnology, neuroscience, (veterinary) medicine or a comparable field Comprehensive knowledge