352 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at Nature Careers
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profiling, and other cutting-edge, high-dimensional tissue analysis approaches to evaluate pancreatic cancer pathology using human tissue specimens Assemble analysis pipelines using machine learning
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should hold a Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, Data Science, or a closely related field Solid background in machine learning and natural
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of Unix systems (GNU Linux) and keen to gain hands-on experience in Networks and systems Machine Learning knowledge is a plus Strong analytical and programming skills are required (Python, Matlab, Golang
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time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local
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or similar. Experience in handling dynamic modelling and control, experimental setup and testing, Digital Twin and Machine Learning Publication experience Collaboration and/or management skills Communication
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test therapeutic strategies relevant to understanding and treating pediatric neurological disease. [ https://www.stjude.org/research/initiatives/pediatric-translational-neuroscience-initiative.html
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Postdoc position in advancing nature-based restoration and sustainable management of freshwater l...
the Ecology group https://www.sdu.dk/en/forskning/ecology . The successful applicant is expected to have a research background in basic and/or applied research related to systems ecology, with a focus on
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research portfolio, please visit our website at: https://www.sdu.dk/en/forskning/dache Employment Appointment to the position will be in accordance with the salary agreement between the Ministry of Finance
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information: Interviews are planned for 16th of March 2026. For further information and details of how to apply, please visit our website http://jobs.jic.ac.uk or contact the Human Resources team on 01603
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attendance and collaboration with other research organisations. Scientific contact Prof Dr Gunnar Dittmar gunnar.dittmar@lih.lu More information about the groups can be found here: https://signaling.lih.lu