1,500 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions in Germany
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. BioRxiv 2024; doi: https://doi.org/10.1101/2024.04.15.589474 ). In this PhD project, we will validate these molecules and interrogate their mechanism of action using confocal microscopy, protein chemistry
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of October for the following summer semester. The exact date is announced on our website. For further information on our application procedure, please see http://www.artes.uni-koeln.de . Tuition fees per
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mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
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submit your application documents, including your CV, a cover letter, relevant transcripts, and contact information for references. For any inquiries, please visit our web page https://ralser.group
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conducive to scientific qualification and provides the opportunity for further academic development. Where to apply Website https://uni-bielefeld.hr4you.org/job/view/4748/research-position-phd-student-m
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formations are of growing economic and societal importance. By participating in a number of externally funded projects, doctoral candidates learn to perform independent scientific work. Through active
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protection information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our website at https://www.senckenberg.de/en/imprint/ Please
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. Proof of English language skills for non-native speakers (official standardized tests, e.g. TOEFL iBT, min. 60 points) is required. Programme start: summer 2026. More information can be found here https
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skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. An Interest in eye-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR
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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