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degree, or High Second-Class Masters degree or equivalent in the health-related field. Strong quantitative research skills. An understanding of quantitative research methodology and data analysis. Evidence
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and UUV to support autonomous coordination and mission execution. This includes using relative measurements, shared environmental representations, and synchronized data exchange to enable precise and
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. Finally, the research will develop efficient algorithms and test them on realistic networks and using real data from energy and public transport operators. The Doctoral student is also expected
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: Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in a relevant subject, typically in the physical sciences or engineering. Experience of computer simulation, or
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strong social economy. Building on reflexive ethnographic methodology, data will be analysed collaboratively with the research participants. During fieldwork the researcher will undertake ethnographic
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Computing, University of Basel), and 14 clinical partners across Switzerland. The project aims to advance the Family Gene Toolkit (FGT) v2.0, a digital platform that offers reliable information and prepares
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of entrepreneurship, sociology, and rural development in an international and interdisciplinary research project. As our new PhD student, you will play a central role in: Collecting qualitative data from new and
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/other relevant publications 6. Other merits of relevance for the position 7. Contact information to two reference persons Attached documents must be in Word or PDF format. Please note that incomplete
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group as part of the diverse and international Nordcee section at the department, and will work closely together with associates from all RECLESS institutions. For more information about the position
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apply online for this vacancy and to view further information about the role, please visit: www.jobs.cam.ac.uk/job/53941 . For informal enquiries, please contact Professor Florian Hollfelder via