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% Superannuation (Academic Level A) Based at our St Lucia Campus About This Opportunity Join a collaborative and impact-driven research environment in QAAFI as a Postdoctoral Research Fellow in Quantitative Genetics
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Paris, France | Institut de l’Audition (Institut Pasteur) Duration: 24 months (flexible start) Supervisor: Keith Doelling (INSERM) About the position We are recruiting a postdoctoral researcher to
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) Essential selection criteria: Relevant PhD/DPhil (or be near completion), in engineering, physics, mathematics, or similar, together with relevant experience Strong background in mathematical optimisation
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, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your
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to contact Dr. Simon Schafheitle (s.d.schafheitle@utwente.nl) Screening is part of the selection process. About the department The HBE department aims to build an encouraging work environment. We provide equal
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, interdisciplinary team at one of Australia's most dynamic research universities. About the Role The Discipline of Geography and Planning, within the School of Communication, Society and Culture, is seeking a
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; Knowledge about the ECHO program is preferred: Ability to translate adapt and apply academic or practical knowledge in the conduct of biological/health science research preferred. Requires successful
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commensurate with their experience. Please direct enquiries about the role to: Prof. Dimitra Rigopoulou (dimitra.rigopoulou@physics.ox.ac.uk) and Prof. Niranjan Thatte (niranjan.thatte@physics.ox.ac.uk) The post
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Applications are invited for a Postdoctoral Research Associate in Machine Learning for Chemistry to work in the research group of Professor Volker Deringer at the Department of Chemistry. About the
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at international conferences. Your profile PhD (degree or almost completed) in Physics, Applied Mathematics, Complex System or a related field. Strong background in mathematical modeling, machine learning