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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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this role, we are looking for candidates to have the following skills & experience: Essential criteria PhD, or in the final stages of obtaining a PhD, in a relevant area of social science (e.g., sociology
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successful in this role, we are looking for candidates to have the following skills & experience: Essential criteria PhD qualified in relevant subject area* Experience developing deep learning segmentation
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must hold a PhD in psychology, animal behaviour, or another related field and must show experience with having worked with animals, ideally birds (and preferentially corvids). The applicant must have
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quality refereed journals and write reports for submission to research sponsors. You must hold a PhD (or be near completion) in a biomedical field of laboratory-based research (ideally immunology and/or
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data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry along with experience in advance quantitative microscopy
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, stable isotope tracers, medical imaging). Experience with molecular biology techniques, stable isotope tracers methodologies, GCMS desirable. -Familiarity with bioinformatics and computational biology
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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conferences • Conduct literature searches and reviews • Attend conferences/workshops and present papers as required You Should Have: • PhD or near completion of a doctoral degree in a relevant
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
socioeconomically complex regions like the Amazon. This PhD will explore how tropical forests are functionally adapting to climatic pressures such as drought and warming, and how these ecological shifts intersect