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Field
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-time data acquisition during production, consulting, and prototype manufacturing. Graph neural networks provide an opportunity to operate on Mesh structured data utilized in Finite Element Method (FEM
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | 3 months ago
between chimeric antigen receptor (CAR) engineered T cells and tumor cells. The scientific aims and scope of the research group are cross-disciplinary, with core expertise in biophysics and cell biology and
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the Department of Plant Biochemistry at the Center for Plant Molecular Biology (ZMBP), University of Tübingen. The position is available from January 2027 and is initially funded for three years, with
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The Sulzbach-Rosenberg branch of the Fraunhofer Institute for Environmental, Safety, and Energy Technology Fraunhofer UMSICHT develops process engineering solutions in the field of carbon conversion
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performance on test data Investigation of the influence of different EIS data types on sorting accuracy Documentation of the results What you contribute Electrical Engineering / Mechatronics / Computer Science
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, microstructure, manufacturing processes, and electrochemical performance to develop next-generation iron anodes for rechargeable iron–air batteries. The project combines electrochemistry, materials science, and
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invasive in blood biomarker detection. In collaboration with our partners at the Karlsruhe Institute of Technology (KIT), you will develop data analysis pipelines as well as signal processing and inference
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Programme duration 6 semesters Beginning Other Application deadline Application track I (joint call): updated information for the next call will be announced here in due time. Application track II (open
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This programme has no deadline listed. More information on application periods Please find more details on this website . Combined Master's degree / PhD programme Yes Joint degree / double degree programme No
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/ protein biochemistry expertise is of advantage • Experience in analyzing protein structural data (not necessarily acquiring the data) • Having already worked with GFP-like or Bacteriophytochrome-like