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Field
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Management, Analysis & Machine Learning Knowledge and experience in high volume image-array data acquisition and management, development of custom software and machine learning techniques for advanced
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-Language Models Apply for this job See advertisement About the position Integreat - the Norwegian Centre for Knowledge-driven Machine Learning is seeking a motivated PhD candidate to join our
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, medical imaging (ultrasound and micro-CT), and AI/machine learning approaches. The successful candidate will lead project design, coordination, and experimental execution, providing leadership in
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empowered to halt the climate crisis and create an environmentally sound future for generations to come. To learn more about SEAS and our values, please visit our website at https://seas.umich.edu/about/seas
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, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. For more details, please view https://earthobservatory.sg/ The Earth Observatory of Singapore (EOS
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/machine learning approaches. The successful candidate will lead project design, coordination, and experimental execution, providing leadership in project direction. There will be opportunities to work
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allowance. This is a fixed-term role until 31st of December 2029 in the first instance. About you The successful candidate will hold (or shortly expect to obtain) a Ph.D. in Machine Learning, Physics
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, and AI-assisted scientific discovery workflows. The work will be done together with the Ganna Lab (https://www.dsgelab.org/) at FIMM and the Probabilistic Machine Learning Lab ( https://www.helsinki.fi
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, use of ecoacoustic software and platforms, and management of large biodiversity databases, would be highly desirable. Experience with environmental sensors, remote sensing technologies and machine
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, electrical engineering, Food Engineering or related disciplines Preferred Qualifications: Hands on experience in Food Engineering, machine vision, electronic design, and artificial intelligence