40 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"EMBL" positions at AALTO UNIVERSITY
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uncertain sensing. The positions are linked to the AI in Manufacturing and Machine Industry theme of the Aalto House of AI , led by Professor Ville Kyrki. The theme brings together robotics, machine
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partners. The group develops intelligent robotic systems, with an emphasis on methods and systems that cope with imperfect knowledge and uncertain sensing. The positions are linked to the AI in
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Fingrid. Research focus Monitoring and data analysis: Apply and develop methods to estimate torsional oscillation frequencies, damping and amplitudes from phasor measurement unit (PMU) data. Analyse
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access to unique registry-based data sets from Finland. What we offer We offer you an engaging position in an inspiring and supportive work environment. You will become part of a friendly, knowledgeable
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, and decide reliably in complex, human–robot shared environments. The Mobile Robotics ( https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/mobile-robotics ) and Intelligent
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accounting databases and many faculty members also have access to unique registry-based data sets from Finland. What we offer We offer you an engaging position in an inspiring and supportive work
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contact HR Advisor, [email protected] . More information about the SkyWake project: https://www.aalto.fi/en/innovation-portfolio/skywake More information about Business Finland Research to Business
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, you will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering. Thus, please see the student information and admission criteria at https://www.aalto.fi/en
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are described at https://kwantaekim.github.io/open-position/ Please note: Aalto University's employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their
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researcher in the field of protein-nucleic acid hybrid materials We are seeking a doctoral researcher to join a Research Council of Finland-funded project ( https://research.fi/en/results/funding/88763