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genetics-oriented focus. The PhD fellow will work with large-scale longitudinal and family-based data, including genomic data, population registers, and cohort studies, to investigate how genetic
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 8 days ago
5 Apr 2026 Job Information Organisation/Company Sorbonne Université SIS (Sciences, Ingénierie, Santé) Research Field Physics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4
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. This PhD project wil combined longer-term monitoring data and new sampling campaigns for field measurements and sample collection to improve our quantitative understanding of carbon fluxes in the Congo Basin
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3 Apr 2026 Job Information Organisation/Company Institutionen för akvatiska resurser Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Application Deadline 27 Apr 2026
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research, research groups require access to high performance data storage for data-intensive processing, visualization for data analysis, GPUs, access to cloud services and research infrastructure skills
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to read more about us at: https://liu.se/en/organisation/liu/isy/ks . For more information about working at ISY, please visit: https://liu.se/en/article/open-positions-at-isy . You will become a key member
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Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteUniversity of BaselCountrySwitzerlandCityBaselPostal CodeCH
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 15 days ago
willingness to develop additional subject-matter and regional expertise; excellent command of quantitative research methods, including panel regression, analysis of large administrative data, survey data, and
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amongst neighborhoods through interventions. Where to apply Website https://www.academictransfer.com/en/jobs/359161/phd-researcher-smart-active-mob… Requirements Specific Requirements A background in either
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level and across entire wind parks. Modern turbines are equipped with sensors that collect large amounts of operational and environmental data, yet translating these heterogeneous data streams