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) developing models forecasting influenza epidemics accounting for epidemic dynamics by age groups. Successful applicants will be supervised by Prof Simon Cauchemez . They will collaborate with other members
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, France) and at the ESRF ID12 beamline (Grenoble, France), under the co-supervision of Prof. Olivier Isnard (Néel Institute) and Dr. Fabrice Wilhelm (ESRF). This PhD project is co-funded by University
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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dynamism. Application & Additional Information - Duration: minimum 24 Months - Start Date: as soon as possible - Supervisor: Prof. Gaël Grissonnanche (gael.grissonnanche
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contact Prof. Ralf Seppelt, Your profile You'll be able to demonstrate experiences in management environmental data in different projects, and meet the following qualifications: PhD in Data Science
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. The successful candidate will engage with stakeholders from academia, industry, and policymaking to contribute to practical and scalable solutions for global food security challenges. Contact: Prof. Dr. Ralf
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sustainable future. Contact: Prof. Dr. Ralf Seppelt, Director of the Luxembourg Centre for Socio-Environmental Systems (LCSES) Email: Your profile Candidates should have a proven track record in quantitative
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learning, focusing on identifying abrupt shifts in the properties of data over time. These shifts, commonly referred to as change-points, indicate transitions in the underlying distribution or dynamics of a
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information about the position please contact: Prof. Denis SCUTO Your profile Master's degree in Digital History, Data Science, Historical Migration Studies, Digital Humanities, or a related discipline Proven
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researcher will collaborate closely with Prof. Dr Claude Houssemand (https://wwwen.uni.lu/forschung/fhse/desw/people/claude_houssemand/ ) on topics related to cognitive differential psychology, especially