419 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" Fellowship research jobs in United Kingdom
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statistical machine learning techniques to mine self-reports and sensor data to gain new insights towards assessment and longitudinal monitoring of bipolar disorder; b) work on sleep datasets exploring
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the tailoring and adaptation of programme protocols. For more information on Peninsula Medical School please visit our dedicated webpage at https://www.plymouth.ac.uk/schools For this role, you will need to be
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candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record
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, b) computational modelling, or c) machine learning. This is a complex project managing longitudinal data from a range of sources. Therefore, thoroughness and attention to detail while managing
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your machine learning expertise to cutting-edge automated optimisation challenges? We are seeking a Research Fellow in Digital Chemistry and Engineering to combine self-optimising flow reactor technology
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on the Leverhulme Trust project Explicating Singularity Resolution: From Black Holes to Quantum Cosmology, led by Dr Karim Thebault (https://philosophyofphysicsbristol.org/explicating-singularity-resolution
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preferred PI and department/research group and may suggest co-mentors across the University’s rich networkfinal lists will be provided on the call website: https://careers.univie.ac.at/en/postdoc/e-steem
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department/research group and may suggest co-mentors across the University’s rich network. Final lists will be provided on the call website: https://careers.univie.ac.at/en/postdoc/e-steem . Your future tasks
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: https://careers.univie.ac.at/en/postdoc/e-steem Your future tasks: You will: Conduct highly original and internationally competitive research in one of the designated fields. Develop and execute
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candidates will select a preferred PI and department/research group and may suggest co-mentors across the University’s rich network final lists will be provided on the call website: https