853 embedded-system-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Nature Careers
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and ecosystem outcomes of food production. By embedding cutting-edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate
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Commitment, creativity, and teamwork skills Desirable assets: Experience in embedded systems or robotics is a plus Experience in cybersecurity is a plus Due to the specific requirements for this position and
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-year contract, with extension for a second year after a positive evaluation. Working environment: The position is embedded in an internationally oriented research team at KU Leuven KULAK (Kortrijk), with
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to address urgent societal challenges in research and teaching. The position is embedded in the Population, Environment and Development research group. This working group deals with key population geography
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Python; C/C++ is a plus Fluency in English is required Commitment, creativity, and teamwork skills Desirable assets: Experience in embedded systems or robotics is a plus Experience in cybersecurity is a
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability
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and ecosystem outcomes of food production. By embedding cutting-edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate
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outcomes of food production. By embedding cutting-edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery
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and ecosystem outcomes of food production. By embedding cutting-edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate
-
outcomes of food production. By embedding cutting-edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery