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- Participatory Methods for Impact chain assessment and backcasting Reference code: 50139757_2 Commencement date: August 1st, 2025 Work location: Hamburg Application deadline: 04.06.2025 The Climate Service Center
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, Molecular Biology or similar to be filled for a period of 3 years (extension possible). Methods used Cell culture systems, including IPSC, 2D, 3D culture, spheroid assays, migration and proliferation assays
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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of new EEG and MEG neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be
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devices, by employing advanced experimental and theoretical methods in an interdisciplinary approach bridging synthetic chemistry, condensed-matter physics, and materials science. Our research encompasses
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: https://www.medizin.uni-muenster.de/en/nmr/home/ Apply now via our career portal until 02.07.2025. Formal applications should include: Motivation letter (1 page) CV Certificates Field of expertise A
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portal until 02.07.2025. Formal applications should include: Motivation letter (1 page) CV Certificates Field of expertise A reference letter is welcome Applications of women are specifically invited. In
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models. The scientist will conduct research using machine learning and classical parameterization methods on data from ocean gliders equipped with microstructure turbulence sensors, turbulence resolving
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for biological image data, scalable computer vision methods preparation of publications for submission to top-tier machine learning conferences contribution to teaching and/or supervision of Bachelor's and