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Field
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Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. Familiarity with the following areas is
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, or PhD degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related fields. Experience in robotics software development using ROS/ROS2. Experience with robotic
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the world. WORK PERFORMED Projects will be tailored to the successful applicant's scientific interests and career goals. Current areas of research include: Engineering next-generation Tregs using
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predictions from large-scale genomic data, which is currently generated for many wild animal populations. To this end, the project combines modern statistical methodology and builds on the current state
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School is conducting research at the interface human and artificial intelligence. We create methods and tools that enable humans and machines alike to interact with and generate insights from biomedical
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appropriate national guidance for patient and public involvement (PPI) in population health and primary car research in Singapore. Working alongside OPEN and our OPEN Voices patient partners, you will generate
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techniques. You will have the opportunity to participate in various projects utilizing artificial intelligence (AI) and machine learning (ML) to develop applications that optimize combat casualty care
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the following conditions: Scientific Area: Computer Science. Admission Requirements: Academic qualification: Master's degree in Computer Engineering, Computer Science, Electrical and Computer Engineering, or
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: Holders of a Master's degree in Product Design and Development Engineering or related areas who are PhD students in Sustainable Product and Process Engineering. . DURATION: 12 months, eventually renewable
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the qualification of the applicant and the current needs of the department. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Place of work is Department