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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
Integrative Postdoc Pool) is also designed to allow networking between (marine) institutions. We therefore offer the possibility for candidates to foster external relationships, or in consultation, to bring in
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Wegener Institute and its long-term investment in polar science, as well as its engagement in providing the best available science to policymakers in CCAMLR. The HIPP (HIFMB Integrative Postdoc Pool) is
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
the Department of Pediatric Immunology and Rheumatology at the University Hospital of Bonn and Principal Investigator of an ERC Consolidator grant (iDysChart), integrating basic research into mechanisms
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international experts Joint representation of ZALF in the AGROECOLOGY Partnership and attending international project meetings Discussing, integrating, and sharing results within ZALF and the AGROECOLOGY
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, and energy systems into a comprehensive bio-based circular economy. We develop and integrate techniques, processes, and management strategies, effectively converging technologies to intelligently
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opportunities for further trainings as part of academic career development, support for interdisciplinary and international exchange, integration into the LEAD Graduate School & Research Network and the Tübingen
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tasks Collaborate closely with other laser research groups at DESY and with our international partners Integrate your developments into the control system of the facility and advance their technology
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integrate large-scale sequence and RNA-seq data from internal and public resources. You build a reference library of predictive regulatory motifs. You use network analysis and random-forest approaches
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of dashboards or the integration of AR/VR. The junior research group will be part of the newly established "Digital Education" Lab, which will be headed by a professor. The TüDiLab (https://www.tuedilab
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culturing, integrating multiple automated subsystems with image-based machine learning models. Our objective is to enable robotic decision-making through machine learning, paving the way for a standardized