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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
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and water monitoring protocols; and/or other application areas where pathogen concentration is an important element, e.g. healthcare, biotech, aquaculture, food and drink PhD in relevant discipline (or
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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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) 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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We are recruiting two postdoctoral research associates with expertise in mass spectrometry-based protein analysis. You will be embedded in a larger team with another PDRA and a PhD, fully funded by
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working under the supervision of Prof Wooldridge. Candidates will be expected to have a PhD (or be close to completion) in a related area. The primary selection criteria will be relevant research experience
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We are recruiting two postdoctoral research associates with expertise in mass spectrometry-based protein analysis. You will be embedded in a larger team with another PDRA and a PhD, fully funded by
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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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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