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Field
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learning, image analysis, and advanced computing to study relationships between structure and function. Keywords: Human Brain, 3D Atlas, Deep Learning, Temporal Lobe, Brain Function Entry Requirements
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gain comprehensive experience in SAW technology, NEMS/MEMS, and material science. The project will prepare you for further career advancement in both industry and academia. You will work under the
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Your Job: The electrocatalytic interface engineering department led by Prof. Dr.-Ing. Simon Thiele focuses on synthesis, manufacturing, analysis and simulation of functional materials to find
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sustainable bioeconomy. The four PhD projects are: Your Profile: Master’s degree (or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences
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experience in a structured 3-year PhD programme on cognitive neuroimaging. Applicants should come with an excellent master’s degree (or equivalent) in a wide spectrum of potential disciplines such as cognitive
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, characterizing their structural and electrochemical properties, and integrating them into functional electrochemical systems. By joining this research, you will contribute to laying the foundation of a sustainable
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Chair of Biological Imaging 07.08.2025, Wissenschaftliches Personal We are now looking for a highly qualified and motivated researcher with an engineering or physics background (f/m/x) and a
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biology, including: Genetic engineering of human malaria parasites (CRISPR/Cas9, DiCre, etc.) A broad spectrum of cutting-edge imaging methods (live-cell and time-lapse fluorescence microscopy
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 19 hours ago
Transformation Processes. The programme is affiliated to the Faculty of Architecture, Civil Engineering and Urban Planning. Doctoral students conduct individual research in the fields of heritage conservation and
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-driven energy systems research – scalable, transparent, and interoperable. Your tasks in detail: Development of a structured description format for the unambiguous and machine-readable characterization