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service (zweites Einstiegsamt der Laufbahngruppe 2), performing academic duties. Otherwise, they shall be employed as a public employee in accordance with pay group 13 TV-L Wissenschaft. An ‘Inclusive
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. The successful candidate (f/m/d) is expected to be committed to the university’s strategic goals and to actively shape its holistic development (https://www.tu-braunschweig.de/hochschulentwicklung ). In
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(C) models and validated using data from operating geothermal sites. Your responsibilities: Select rock samples from outcrops and perform detailed mineralogical and microstructural analyses Conduct
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of workflows for the isolation and characterization of rare circulating cell populations from blood samples of PDAC patients Performing single-cell molecular analyses including transcriptomics and targeted
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | about 2 months ago
experimental laboratory research. The successful candidate will become part of the DKFZ International PhD Program (https://www.dkfz.de/en/career/international-phd-program ) and will work in a highly
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modeling and simulation • Development in Finite element and alternative discretization methods (e.g. Lattice Boltzmann methods) • High-dimensional algorithms and high-performance computing
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University of Freiburg (Uni Freiburg) | Freiburg im Breisgau, Baden W rttemberg | Germany | 3 months ago
strategically develop a laboratory program in surgical research focused on oncoimmunology and tumor metabolism in colorectal cancer within the scientific framework of TRR417 (https://www.trr417.de) Design and
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) Developing and writing grant proposals to secure funding for research projects and initiatives After agreement, there is the possibility of performing teaching tasks independently Where to apply E-mail
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, The Lancet Neurology, Blood, Journal of Hepatology, and Journal of Hematology and Oncology. We are looking for ambitious scientists who aspire to perform research at the highest international level and pursue
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-based approaches for analysing, predicting and optimising crop performance and RUE integrating experimental, physiological and environmental data for improved understanding of crop production systems