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» Molecular chemistry Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 31 Oct 2026 - 23:59 (Europe/Brussels) Country Belgium Type of Contract Temporary Job Status
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Sep 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Help us uncover how the infant gut microbiome shapes immune development. Join Us! Do you want to investigate how the microbiome acquired in early life influences innate immunity and pathogen infection in vulnerable infants? Join an NWO Vidi project that combines advanced gut-on-a-chip...
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comes with no teaching obligations, but postdocs at ISTA have the possibility to teach a topics course on any subject of their choosing. Evaluation of candidates will begin on October 16 2026, but this is
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research group funded by the Data-driven Life Science Fellows (DDLS) program. Led by Wei Ouyang, the group builds next-generation AI systems for cell and molecular biology. Data-driven Life Science Fellows
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. Partially paid parental leave Attention for working healthy and energetically with the vitality program. Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as
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driven measures have the potential to support health and mitigate operational energy, the application, affordability, and acceptance of such measures are limited. As postdoc researcher you will do research
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Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 31 May 2027 - 12:00 (Europe/London) Country China Type of Contract To be defined Job Status Full-time Hours Per Week 40
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construction machinery using the trolleybus network as an energy source. This Postdoc is part of the EU-funded GRID4CITY project, within the Driving Urban Transitions (DUT) Partnerships program call 2025-26
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, physics, applied mathematics, engineering, computer science or related discipline. Strong skills in fluid mechanics and numerical modelling. Experience with large observational data sets of environmental