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Master Thesis in Physics or Materials Science: Remanent phase shifter based on memristive technology
website: https://www.fz-juelich.de/en/pgi/pgi-7 and the website for the mentioned project (in German): https://neurosys.info/projekte/ Your Profile: Completed qualification for enrollment in the project
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REMUNERATION: Your thesis will be appropriately remunerated by us In addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits We welcome applications
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knowledge of English, both written and spoken Proven track record of publishing in peer-reviewed journals Strong work ethic For any inquiries, please visit our web page, https://ralser.group/e/ , or contact
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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Max Planck Institute of Animal Behavior • | Radolfzell am Bodensee, Baden W rttemberg | Germany | about 17 hours ago
the University of Konstanz Teaching language English Languages The entire course is taught in English. German is not required, but it is recommended to learn the German language so as to increase integration
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guidelines for tenure review under the following link: https://uni-tuebingen.de/en/12271 . There you can also find information on this employment category. Those who have completed a habilitation will be
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of equal status are particularly welcome. Qualified candidates are asked to apply via the Appointment Portal of the University of Bonn (https://berufungsportal.uni-bonn.de ). The application can be submitted
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in accordance with the IfSG before starting employment (currently: measles). General information on professorships, hiring processes, and the German academic system can be found here: https://uni
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about the program (including further application instructions), please visit: https://www.mpg.de/en/max-planck-postdoc-program . To submit your application online, please visit: https
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present. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python skills, preferably some