1,580 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions in Germany
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, Montserrat, Nicaragua, Paraguay, Peru, St. Lucia, St. Vincent and the Grenadines, Suriname and Venezuela What can be funded? Master studies in Electrical Engineering at the Universidad Nacional San Juan
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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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strong Excel skills You are organized, reliable, and proactive You are a good communicator and enjoy teamwork You are comfortable working in English (at least B2 level according to the CEFR: https
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laboratories Based on the complexity of the project, motivation to learn new skills to expand scientific knowledge High degree of analytical working style Excellent communication skills and ability to work in an
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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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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks
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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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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