524 machine-learning "https:" "https:" "https:" "https:" "U.S" "U.S" PhD positions in Germany
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to teach in German and English We offer: opportunity to work in an international environment participation in scientific exchange programs and short research stays abroad membership in the Graduate Academy
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embedded into the quantum technology network formed by WMI, the Excellence Cluster MCQST (www.mcqst.de), the TU München (www.tum.de), Munich Quantum Valley (https://www.munich-quantum-valley.de/), and many
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an extended period of time. The research classes are based upon the cooperative work of the group and the principle of peer learning. In addition, both faculties offer numerous colloquia that cover key areas
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semesters Beginning Summer semester Application deadline November/December (For exact dates, check our website: https://www.gsoses-ur.de/ ) Tuition fees per semester in EUR None Combined Master's degree / PhD
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https://stellenangebote.uni-marburg.de/jobposting/1ca84d153a9a64449c27a1af9afb6… Requirements Research FieldChemistry » BiochemistryEducation LevelMaster Degree or equivalent Research FieldBiological
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2021 Dec 10;478(23):4099-4118. doi:10.1042/BCJ20210508.Zaman et al. BioRxiv 2024; doi: https://doi.org/10.1101/2024.04.15.589474 ). In this PhD project, we will validate these molecules and interrogate
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Documents to submit: Supervision agreement Report of intent to pursue doctoral studies Copies of university transcripts Curriculum vitae in tabular form Please find all details on this site: https://hpi.de/en
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Program are intended for students who wish to obtain a doctoral degree and who are motivated to carry out translational research. The following projects are open for applications: 1. “Enhancing CAR-T
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continuum within the 2nd phase of CLICCS (https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System
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elements distribution, crystallographic texture), mechanical properties (hardness, yield and tensile strength) and corrosion profile (rate and localization). This work focuses on machine learning assisted