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PostDoc (m/w/d) position on “Biological engineering of novel gene reporters for Electron Microscopy”
20.02.2025, Wissenschaftliches Personal Synthetic Biology and Molecular Imaging project on generating “GFP for Electron Microscopy” via genetic- and protein-engineering of EM-visible nanostructures
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. The successful candidate will receive careful mentorship both from the supervisor and from other peers through a dedicated mentorship program. Technical queries should be directed to Benedikt Jahnel
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networks of functional gene and protein regulation (https://www.ipb-halle.de ). The position is located in the department BPI (Biochemistry of Plant Interactions) and the Program Center for Plant
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Degree Dr Course location Nürnberg In cooperation with Institute for Employment Research (IAB) Teaching language English Languages English Full-time / part-time full-time Programme duration 6
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 1 hour ago
neuroscience Strong analytical and critical thinking skills A willingness to learn new techniques, including advanced experimental methods and computer programming Excellent verbal and written communication
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university preferably in the subject areas of computer vision, computer graphics, computer science, media informatics or creative technologies Good programming skills in C++, C# for support in algorithm
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for different application use cases Your Profile: Enrolled in a Master’s program in physics, materials science, electrical engineering or a related discipline Solid background in solid-state physics and/or
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Information Centre Johannesburg: www.daad.org.za/nrf For any further assistance and information around the DAAD/NRF In-Country Scholarship programme please contact your institutions financial aid / bursary
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scenarios for tool wear detection and measurement What you bring to the table You are studying production engineering, mechanical engineering, or a comparable subject Initial programming (python) and Machine
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programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades PyTorch skills: experience in training machine learning models with one