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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 13 days ago
Job Offer from November 28, 2025 We seek a Postdoctoral Researcher (m/f/d) to join our team at the Max Planck Institute for Biological Cybernetics in Tübingen (Germany), to explore mammalian brain
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the areas of signal processing for wireless communication systems including satellite communications and radar systems and is currently expanding its research activities in exploring several emerging use
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of unsolved problems in biology and has the potential to revolutionize the understanding of metabolism and signaling in healthy and diseased cells. The postdoctoral researcher will join an
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, discussing issues that come up around working in CAPS, and processing the dynamics within the cohort. This experience is optional but highly encouraged for Postdoctoral Residents. Administrative Time: Trainees
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of metabolism and signaling in healthy and diseased cells.The postdoctoral researcher will join an interdisciplinary team with strengths in physics, chemistry, and molecular biology. The existing team has
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? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will be responsible for: Designing, planning, and conducting in
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3GPP compliant 5G/6G NR NTN OFDM waveforms Develop and analyse signal processing and/or machine learning algorithms for joint channel, delay, Doppler and carrier phase estimation, remote object ranging
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A PROFESSIONAL WITH THE FOLLOWING PROFILE: POSTDOCTORAL POSITION Reference: 2025/205 Project: 564150004 - PT23/00137 Clinical Research and Trials Unit, UICEC IBIMA_Bionand Platform. ISCiii Clinical
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, H2020 program and the European Space Agency (ESA). For further information, you may check: www.securityandtrust.lu The SigCom research group carries out research activities in the areas of signal
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research project Expertise in machine learning Additional expertise in one or more of the following: digital signal processing, statistics, multimodal processing, FAIR data management, music theory