26 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" research jobs at AALTO UNIVERSITY in United Kingdom
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of Finland to build a machine learning tool for predicting the atomic structure of surfaces. You will work under the supervision of the project leader, Academy Research Fellow Dr. Ondřej Krejčí, and
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flagship (https://fcai.fi ) and the ELLIS Institute Finland (https://www.ellisinstitute.fi ), part of the pan-European AI network of excellence (https://ellis.eu/members ). Significant high-performance
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, please see the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . How to apply? Please submit your application through
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understanding of water–surfaces interactions and its tribocharging. Your role and goals The student will develop the experimental setup and the measurement automation program, perform measurements, and analyze
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experimental psychology and cognitive science to augment human intelligence with AI. Your experience and ambitions eligible for PhD study at Aalto University (https://into.aalto.fi/display/endoctoralsci/How
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surface wettability and developing wetting characterization instruments. More information about our group can be found in: http://physics.aalto.fi/smw . Your experience and ambitions We offer a hands-on
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-reviewed, high-quality scientific journals as the first author Advanced data analysis and programming skills Strong interpersonal and teamwork skills, a proactive and collaborative working style, and
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understanding of water–surfaces interactions and its tribocharging. Your role and goals The student will develop the experimental setup and the measurement automation program, perform measurements, and analyze
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for this industrial project is confirmed. In these activities, you will have the chance to design and build up a full experimental PEM electrolysis stack and plan experimental activities on both PEM and alkaline
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Applications (EMA) research group (https://www.aalto.fi/en/department-of-chemistry-and-materials-science/electrochemical-materials-and-applications ), led by Prof. Daniel Martin-Yerga, is seeking a highly