911 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" uni jobs at Nature Careers
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Tenure-track Assistant and Associate Professorship positions in Data Science and Machine Learning...
-track) and/or Associate Professor levels with a focus on Data Science and Machine Learning. The expected starting date is summer 2026, with room for flexibility. Depending on the profile of the candidate
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. The subject of the PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History ( https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in
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in resulting companies, etc. The work will comprise machine learning research for analysing large-scale clinical data, including time-series physiological data, blood test data, medications
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will also profit from the vibrant research community around machine learning of the SCADS.AI center (https://scads.ai ) and the recently granted Excellence Cluster REC² – Responsible Electronics in
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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Biochemistry (IPB, https://www.ipb-halle.de/en/ ) the following position is to be filled ideally on October 1st, 2027: Full Professor (Chair, W3) of Chemistry of Natural Products and Bioactives und Director at
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(https://jobs.vib.be/j/132378/laboratory-technician-neuroprotein-engineering ) and include a detailed CV including list of publications, a motivation letter, and the contact information of at least two
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, or methodologies in bioengineering. This search has a particular focus in immunology, neuroscience, and/or computational science/machine learning. That said, we give high priority to the overall originality and
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support as Chancellor Scholars. Academic rank and salary will be commensurate with qualifications and experience. For details and to submit your application, visit https://phri.njms.rutgers.edu/ and https
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to build the strongest possible university with the widest reach. To learn more about the Arts & Science commitment to inclusive excellence, please read here: https://as.nyu.edu/departments