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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 5 days ago
at the MPS has a leading role in high-profile solar space missions, such as Solar Orbiter, Solar-C, and MUSE. In particular, it is the PI institute of the Polarimetric and Helioseismic Imager on Solar Orbiter
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an independent research profile and contribute to shaping the future direction of the group. We work at the interface of biodiversity science, trait-based ecology, landscape ecology, and quantitative spatial
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We work on highly topical, socially relevant issues and offer you the opportunity to actively shape change! You can expect a wide range of opportunities: Meaningful tasks: The opportunity to conduct
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 3 days ago
constrain some of the drivers of interaction and its observability, working towards a true occurrence rate of magnetic interaction in young star-planet systems. You will work closely with a second postdoc
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Application deadline: 27. August 2026. The postdoc position is for 5 years and it is based in the Schulenburg group (https://evoecogen-kiel.de/ ). The research is part of the ERC project on CrypticBenefits and
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opportunity is an important part of our personnel policy. We would therefore strongly encourage qualified women to apply for the position. In principle, the full time position (39 h/week) is also sharable
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Future. Discover. Together. Excellent research and innovation are at the centre of the work of the HHI - Fraunhofer Institute for Telecommunications. We are a world leader in researching mobile and
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work group: ALPS Area of research: Scientific / postdoctoral posts Starting date: 07.08.2026
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methods of basic biomolecular research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex interplay between the human organism and food
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of novel FDSOI devices for neuromorphic computing. You will demonstrate the feasibility and performance of innovative FDSOI device concepts and support their transfer into practical applications through