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solid background in neurobiology; have previous experience with optical imaging of neuronal activity or mouse stereotactic surgery or in vivo electrophysiology or advanced data analysis; are fluent in
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, as part of the development, one position located in Görlitz as Research Associate / PhD student (f/m/x) Integration of CMOS detector technology into the Universal Bayesian Imaging Kit (UBIK) (subject
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The Department Signatorics at the Fraunhofer Institute for Optronics, System Technologies and Image Exploitation (IOSB) in Ettlingen is offering a full-time position on the subject of adaptive
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of the results The tasks can also be completed as part of a Bachelor's thesis. What you bring to the table In the field of Electrical Engineering, Information Technology, Computer Science, or a comparable
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on multi-view sensor perspectives of the “First Mile” test field validation of the developed algorithms and execution of tests on the test bed “Erste Meile” What you bring to the table student in Computer or
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that exhibit emergent turbulent behaviors, and (2) disordered optical media that process information through complex light scattering patterns. Using advanced imaging, machine learning techniques, and real-time
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/d) in Energy Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and
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., Diploma) in either computer engineering, computer science, electrical engineering or any related natural science very good programming skills in C, C++ fluency in English, knowledge of German would be a
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
the institute focusses on the structure and dynamics of elementary processes in solids and at surfaces. Within this broader research theme, the Nonlinear Chemical Imaging (NCI) group of Dr. Alexander Fellows
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages