938 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions in Germany
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Machine Learning Group, Department of Engineering, CambridgeMLG Cambridge About Us News Research Publications People PhD Admissions Blog Latest News Papers with MLG authors to appear at ICML and
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
of processing steps and results Your qualifications: Ongoing B.Sc. or M.Sc. studies in geosciences, environmental sciences, geography, agricultural sciences, computer science, or a related field at a German
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: The successful applicant must have the following: • PhD degree in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or related fields • Experience in
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available in the further tabs (e.g. “Application requirements”). Objective This program gives North American, British and Irish students and PhD students in the fields of science and engineering and computer science
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The International Max Planck Research School on Trustworthy Computing (IMPRS-TRUST) is a graduate program jointly run by the Max Planck Institute for Informatics (MPI-INF), the Max Planck Institute
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specific historical context. Job description: To support our team, we are looking for a student assistant for • Transliteration of Avestan manuscripts • XML encoding of manuscripts Desirable: • Knowledge
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In the ERC-funded project CASTLe (https://www.castle.unifi.it ) we aim at a fundamental understanding of chirality-induced spin selectivity (CISS) and investigate potential applications in quantum
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available in the further tabs (e.g. “Application requirements”). Programme Description The ESV scholarships are open to protestant students from all disciplines and subjects wishing to study full-time at a
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contribute Completed an excellent doctorate in computer science Proven track record of excellent publications Expertise in cryptography and/or machine learning Leadership capabilities and ability to mentor
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data