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based in the working group “Welfare and Policy Design”, headed by Prof. Dr. Matthias Kalkuhl at Research Department “Climate Economics and Policy”. The candidate will work in a growing team aiming to
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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
workplace, a cooperative and open working atmosphere and targeted professional development opportunities (including methodological consulting and media technology programming) - Mobile working option (hybrid
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media technology programming) Mobile working option (hybrid), subsidy towards the Deutschlandticket as a job ticket, occupational health management (OHM) Reconciliation of work and family life, family
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programme. What will be your tasks? The position focuses on the co-design and co-development of a monitoring assessment and policy framework for mitigating changes in marine lightscapes. You will be part of a
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programming skills (e.g., Python, R, C/C++) and experience with high-throughput sequencing data. Solid understanding of RNA biology, transcriptomics, and epitranscriptomics. Desirable Skills Experience with
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group, led by Prof. Dr. Kristel Michielsen. For more information about the research group have a look here: https://www.fz-juelich.de/en/ias/jsc/about-us/structure/research-groups/qip Your Profile: Master
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the team of Prof. Dr. Loriana Pelizzon on data and methods for supervision of climate and ESG risks in Capital Markets (incl. investment funds, bonds, stocks). The role involves advising and
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institutions. You support us in making this cooperation efficient and productive. As Research Associate you will also support our teaching activities in several Bachelor and Master programs offered by the School
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and actual work settings. Tasks include: Developing research paradigms Programming experiments and analyzing data Presenting results at conferences and writing research articles Supervising research
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) for the Information Service Engineering department (ISE) in Karlsruhe startingOctober 1, 2025. The ISE department, led by Prof. Dr. Harald Sack, investigates models and methods for efficient semantic indexing