479 processor "https:" "https:" "https:" "Eindhoven University of Technology (TU" PhD positions in Germany
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The analysis of generated data and communication within an interdisciplinary team made up of people working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 5 days ago
transduce these signals into biological responses. Where to apply Website https://www.hbigs.uni-heidelberg.de/en/your-application Requirements Research FieldBiological sciences » BiologyEducation LevelMaster
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institution. The Cluster of Excellence REC² offers (subject to the availability of resources) at the Faculty of Electrical and Computer Engineering, Institute of Semiconductors and Microsystem (IHM), Chair
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in cancers of unknown primary (CUP). Your Role You will join Subproject 3 (Model Alignment and Optimization), led by PD Dr. Keno Bressem (https://scholar.google.com/citations?user=wIEgwbkAAAAJ&hl=en
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to apply E-mail personal@ufz.de Website https://recruitingapp-5128.de.umantis.com/Vacancies/3381/Description/2 Requirements Additional Information Website for additional job details https://recruitingapp
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to apply E-mail personal@ufz.de Website https://recruitingapp-5128.de.umantis.com/Vacancies/3374/Description/2 Requirements Additional Information Website for additional job details https://recruitingapp
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to apply E-mail personal@ufz.de Website https://recruitingapp-5128.de.umantis.com/Vacancies/3365/Description/2 Requirements Additional Information Website for additional job details https://recruitingapp
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27 Jan 2026 Job Information Organisation/Company University of Siegen Department Embedded Systems Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher
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for doctoral programmes: any time Application deadline The annual call usually opens in September. https://www.dashh.org/application/index_eng.html Interim applications are possible under certain conditions
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, data science, applied mathematics, physics, materials science, or a related field. Solid background in machine learning and/or computer vision. Interest in representation learning, active learning