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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
The International Max Planck Research School (IMPRS) “From Molecules to Organisms” provides excellent interdisciplinary training in structural, molecular, cellular, and developmental biology, bioinformatics, genomics
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development. Pathomorphologic studies of FCD biopsies point to closely linked key neurodevelopmental processes, which represent the core research areas of this RTG: neurovascular communication microglia-neuron
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-Holstein (UKSH), is seeking a PhD student with a strong background in statistics, machine learning (ML)/artificial intelligence (AI), or bioinformatics. Our group develops novel computational and statistical
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-voltage PPU that shall power the E-Sail electron emitter, sail and associated devices. The E-Sail electron gun needs a power-processing-unit to provide the required voltages and currents. As a start
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skills is required for your application if your native language is not English. You can provide proof by: a TOEFL certificate (minimum score requirements: paper based 570 (PBT), computer based 230 (CBT
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may apply to multiple positions offered within E-Sailors, but should carefully choose the ones that they apply for. We offer / Benefits: A competitive salary according to MSCA regulations [pdf-Datei
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deadline for your application at BIGSAS. Applicants can apply to the graduate school during the course of the whole year. For more information about our application requirements and process, please visit our
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projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in the fields of communication, sensing, geo-localization, space and biomedical. This PhD
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projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in the fields of communication, sensing, geolocalization, space and biomedical. This PhD
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training