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. Job description The employment will lead to a PhD in statistical ecology, focussing on studying correlated life-history traits, combining different sources of information, and assessing how
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Warning System is the main objective of this position. The frequency domain machine learning applications will be developed by fusing the OptoDAS data that will be collected from the fibre optics cables and
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, at Makerere University, Uganda and University of Cape Town, South Africa). More information about the network can be found here . The PhD fellows will automatically be admitted to the Faculty of Social Sciences
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16 Mar 2026 Job Information Organisation/Company German Cancer Research Center Research Field Medical sciences » Cancer research Biological sciences » Biology Medical sciences » Epidemiology
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encourage Aboriginal and Torres Strait Islander candidates to apply. Based at our Toowong location About This Opportunity This is an exciting opportunity for a Principal Research Fellow to contribute to a
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and interdisciplinary interpretation of the data are key aspects of the position. The successful candidate will join our Biodiversity & Palaeogenomics research group with master students, PhD fellows
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
Stage Researcher (R1) Positions Master Positions Application Deadline 13 Mar 2026 - 00:00 (Europe/Lisbon) Country Portugal Type of Contract Other Type of Contract Extra Information Research fellowship Job
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professors, in addition to postdoctoral fellows, PhD students, researchers, technical- and administrative staff. The Department has around 200 employees. Questions about the position For further information
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and has no direct reports. Some key skills required: PhD degree in a relevant discipline (e.g. health economics, public health, biostatistics) with substantial relevant experience in design or
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UiO/Anders Lien 24th March 2026 Languages English English English Join the inclusive University of Oslo as a PhD Research Fellow in Machine Learning, tackling real-world data challenges! PhD