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qualitative interviews and analysing quantitative survey data, including collaboration with other project researchers. Continuing your education/training with PhD courses offered by the University of Basel and
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interest in social science applications, and with strong competence in statistics and machine learning. The successful candidate will develop predictive models using machine learning and work alongside other
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 17 days ago
biology, autonomous in techniques for assessment immune responses in fish, autonomous in statistical methods. In the event the degree was awarded by a foreign higher education institution, the said degree
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 17 days ago
for assessment immune responses and oxidative stress in fish, autonomous in statistical methods. In the event the degree was awarded by a foreign higher education institution, the said degree must comply with
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inference, bias mitigation, and statistical modelling. Expertise across diverse epidemiologic methods and content areas is welcomed. Develop a research program that incorporates rigorous epidemiologic methods
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refer to: https://www.uni.lu/en/admissions/diploma-recognition/ https://guichet.public.lu/fr/citoyens/enseignement-formation/etudes-superieures/reconnaissance-diplomes.html Hired PhD candidate must self
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | about 1 month ago
professional networking opportunities # A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found
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The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest
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(specializing in Strategic Management: https://strategy.univie.ac.at/phd/) envisaged starting date: 1 December 2025 (for a total duration of 4 years; Initially limited to 1.5 years, the employment relationship is
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70 research staff and PhD students, along with a strong network of industry affiliates, the department fosters a comprehensive and engaging research and educational environment in the areas