257 machine-learning-"https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions in Sweden
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the beginning and there is still much to be learned! You will lead a project that centers on how tactile end organs assemble, function, and recover after injury. You will be using non-standard animal models
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international research collaborations to generate cutting-edge research and outreach to further ecology as science and promote sustainable agriculture. More about the Department: https://www.slu.se/en/departments
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deadline Experience with urban acoustic monitoring or transportation noise assessment Programming skills in Python Knowledge of machine learning techniques applied to acoustic or environmental data
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health for all Where to apply Website https://ki.varbi.com/en/what:job/jobID:911616/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers available1Company
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the CoSTAR Team lead by NASA/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy
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600 studenter. We are looking for you who have great ambitions in research as well as in teaching and learning, for a postdoctoral position within our research subject, Product Innovation. The research
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technologies. The OEM group is part of the Laboratory of Organic Electronics (LOE) (https://liu.se/LOE ), an internationally renowned research environment comprising more than 150 researchers from diverse
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at the Department of Medical Biochemistry and Biophysics, which offers an international, collaborative, and open-minded research environment. Please visit the lab’s webpage for more information: https://www.umu.se/en
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the Wallenberg Centre for Quantum Technology (WACQT), a 10-year initiative launched in 2018 to advance Swedish academia and industry in quantum technology and to build a Swedish quantum computer. In our research
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and free-energy calculations in explicit solvent. The postdoctoral researcher will employ machine-learning-accelerated methods throughout the workflow, contribute to the development of new computational