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research profile at the Department, please see https://www4.uib.no/en/research/research-groups/system-dynamics and https://www4.uib.no/en/studies/programmes/sustainability-masters/plan About the position
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Structural Mass Spectrometry The Aneika Leney Laboratory is seeking an enthusiastic and talented Postdoctoral Researcher to join our dynamic and expanding team at the University of Birmingham. Our group
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HBIGS Heidelberg Biosciences International Graduate School | Mannheim, Baden W rttemberg | Germany | 18 days ago
your application exclusively through the HBIGS application system: https://www.hbigs.uni-heidelberg.de/en/your-application Additional comments Given the interdisciplinary nature of the project, the PhD
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mandatory for the signing of the contract. Website for additional job details https://concursos.ipb.pt/ui/#/public/concursos/detalhe/1003 Work Location(s) Number of offers available1Company/InstituteInstituto
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the forefront of a therapeutic revolution—one that seeks to interact with neural dynamics in real time to restore or ameliorate dysfunctional brain activity. The Tan Group is a leading contributor to this
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and outdoor recreation areas. Residents of this dynamic city, and surrounding suburbs, enjoy leading educational systems and top-ranked universities, paired with a diverse population. Indianapolis
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25 Apr 2026 Job Information Organisation/Company Politecnico di Milano Research Field Mathematics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1
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21 Apr 2026 Job Information Organisation/Company Fondazione Bruno Kessler Research Field Other Researcher Profile Other Profession Positions PhD Positions Application Deadline 21 May 2026 - 23:59
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the forefront of a therapeutic revolution - one that seeks to interact with neural dynamics in real time to restore or ameliorate dysfunctional brain activity. The Tan Group is a leading contributor to this
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systems (industry, medicine, environment) held by PDEs and/or data-driven, computational fluid dynamics for optimisation and control, data science, automatic learning and uncertainty quantification, offline