13 data-"https:"-"https:"-"https:"-"Helmholtz-Munich" Postdoctoral positions at Nature Careers in France
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are seeking a postdoctoral researcher with experience in analysis of large datasets to examine pre- and post-diagnosis healthcare utilisation among patients with cancer in Luxembourg using insurance claims data
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data coming from educational stakeholders within the educational field in Luxembourg for the educational report Public outreach activities, e.g. transfer of educational research findings from
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modules for primary school teachers and educators Conducting education research related to the development and implementation of the PD modules and related actions in participating classes Coordinating data
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strong expertise in data analysis and computational methods for high-dimensional biological datasets, as well as proficiency in R and/or Python programming. Previous experience with single-cell and/or
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
response to therapies, with applications in brain tumours and neuro-degenerative diseases. Our data comes from large public cohorts as well as local proprietary databases of clinical and preclinical medical
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and respect for our employees and students. General information: Contract Type: Fixed Term Contract 24 Month Work Hours: Full Time 40.0 Hours per Week Location: Belval Campus Internal Title
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institutes and organisations. Your responsibilities: Conduct practice-oriented research using qualitative data collection and analysis methods (e.g. qualitative interviews with young people) Design, implement
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. The Postdoctoral researcher will conduct methodologically innovative, data-driven research in field of Migration in Contemporary History of Luxembourg and the Greater Region and actively contribute to historical
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and respect for our employees and students. To ensure full consideration, candidates should apply ONLINE through the HR system by 31/01/2026. General information: Contract Type: Fixed Term Contract 24
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multi-modal models, contributing to bridge transport economics, network modelling and activity-based modelling, and leverage different types of (big) data. The applicant should be a creative and motivated