957 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Nature Careers
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rhythms, sensory systems, learning and memory, decision making, and the circuits and computations underlying large-scale brain dynamics and motor control. WashU Medicine is one of the leading centers in
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Design and use of data spaces and digital twins for materials and autonomous material laboratories Use of deep learning methods to connect theory, simulation, and experiments Integration of high throughput
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About the role: The Costa Laboratory (https://profiles.imperial.ac.uk/t.costa ), in the Department of Life Sciences (https://www.imperial.ac.uk/life-sciences ), Imperial College London, invites
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UCL is a world-leading, global university with a community of more than 51,000 students from 150 countries and over 18,000 staff which pursues academic excellence, breaks boundaries, and makes a
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, and society. We're proud of our strong reputation in molecular biology and biotechnology, but even more of the people behind it. Currently, we are looking for a Learning & Development manager Do you
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Profile Responsibilities Design and implement analysis pipelines for high-throughput microscopy and sequencing data Develop novel image-analysis and machine-learning approaches for quantitative cell biology
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to develop new methods, for example using machine learning. have a proven track record of independent research funding and high quality publications. have at least 5 years of post-PhD work experience
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obtained from https://mrclmb.ac.uk/research-leaders/madeline-lancaster/. Informal enquiries can be addressed to mlancast@mrc-lmb.cam.ac.uk. The LMB has a collaborative working culture and state-of-the-art
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
exclusively in electronic form and in accordance with the “Applicant Guideline Format Template” and the “Applicant Form” of the Medical Faculty Mannheim for W3 professorships (see https://www.umm.uni
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information about the institute can be found at https://www.dlr.de/en/qt/ . The focus of research and transfer in the field of electromagnetic quantum sensors is on: quantum sensor systems for the precise and