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to work in a team, careful and independent working style - please enclose two coding examples with your application documents - gender- and diversity expertise For further information please contact Prof
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microscopy and atom probe tomography will be prepared. Finally, you will merge the images by means of deep learning algorithms. Your tasks in detail Development of the experimental protocol for the imaging
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Ruhr-University Bochum, Faculty of Mathematik, LS Stochastik Position ID: 3329 -PROF [#26647] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Bochum, Northrhine
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Breite der Biowissenschaften in Forschung und Lehre vertritt. In den Arbeitsgruppen von Prof. Dr. Alexis Maizel und Prof. Dr. Karin Schumacher ist zum nächstmöglichen Zeitpunkt folgende Stelle in Teilzeit
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04.06.2025 Application deadline: 01.07.2025 The chair in Law and Artificial Intelligence at the Faculty of Law at the University of Tübingen, held by Prof. Dr. Michèle Finck currently has one
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, Physics & Computer Science, Prof. Dr. Michael Guthe, and submitted via https://www.uni-bayreuth.de/stellenangebote#Professuren by 13 July 2025. Applicants are welcome to direct questions and requests
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systems”, coordinated by Prof. Dr. Marco Salvalaglio and Prof. Dr. Axel Voigt and funded by the German Research Foundation (DFG). The core activities will focus on the investigation of disordered correlated
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Universität Leuphana Institut für Management, Accounting & Finance Prof. Dr. Patrick Velte Address StreetUniversitätsallee 1Zipcode21335CityLüneburg Contact details Tel:04131-677-2117 E-Mail: accounting
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 5 hours ago
Job Code: 18-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position exploring AI approaches in optical science, molecular imaging and
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programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning