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learn high-end techniques, especially for cryogenic studies, and to build a scientific network in astrobiology and planetary science fields. In addition to the research assignment, participation in
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Cycle Assessment (LCA), Input-Output analysis (I/O), and Material Flow Analysis (MFA) with scientists’ contribution to IPCC and IPBES assessment reports, the International Resource Panel, active
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experimental research is desirable, preferably complemented by strong quantitative analysis and enhanced AI skills. The successful candidate will work closely with Dr. Tim Fütterer, Prof. Dr. Ulrich Trautwein
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experimental molecular biology and data analysis. Doctoral candidates can specialize in genomic and molecular biology techniques, as well as in algorithms, statistics, and artificial intelligence for molecular
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systems, neuroscience, and safety and security. The Division of Systems and Control enjoys a wide network of strong international collaborators all around the world, for example at the University of Oxford
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(microchimerism). Data analysis and interpretation in collaboration with the project team. Writing scientific manuscripts and presenting results at scientific meetings. Collaborating across disciplines and
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regulate the transfer of momentum across the air–sea interface and quantify its impact on the ocean. The successful candidate will combine the analysis of state-of-the-art satellite observations and in situ
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-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security. As part of the Threat Analysis Directorate, you will join a group of security
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-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security. As part of the Threat Analysis Directorate, you will join a group of security
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(see below) are also encouraged to apply. Proficient in at least one programming language, preferably Python or R. Experience in any of the following areas: large scale sequence analysis, microbial