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Field
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automation Knowledge of data acquisition and experimental control frameworks (EPICS, Tango, or similar) Fluent in written and spoken English Very independent and self-motivated way of working but also
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3D software using machine learning tools such as neural networks. You will perform quantitative analyses on existing large amounts of tomographic imaging data and improve the evaluation algorithms in
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are part of the cluster “AIM: Centre for Ultrafast Imaging” within the national Excellence Initiative. The position has a guaranteed funding for 36 months. Salary will be paid at the TV-L E13 67% level
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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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, EMSA) • Single-Molecule imaging of transcription factor condensates on DNA and chromatin fibers (TIRF microscopy, confocal microscopy) • Single-Molecule force spectroscopy (optical tweezers) Requirements
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provenance information in digital images and files Development of metadata validation routines and customised policy rules Collaboration with cultural institutions and developers within the ECHOLOT ecosystem
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materials and evaluate various electrocatalysts develop a laboratory prototype cell setup suitable for scale-up publish results in international journals develop market for electrolyzer technology
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functions for embedding signed provenance information in digital images and files Development of metadata validation routines and customised policy rules Collaboration with cultural institutions and
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of records), indicating the reference code, in PDF format (preferably as one document) to Prof. Dr. Stefan Liebig: bewerbungen-ifs@polsoz.fu-berlin.de or postal to Freie Universität Berlin Fachbereich Politik
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architecture exploration, hardware/software co-design and operating/runtime systems. Typical application domains are e.g. signal-/image processing, artificial intelligence and machine learning. Tasks: research