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are seeking candidates to advance research in resilient and sustainable design and manufacturing solutions. Skills in experimental, computational, and modeling aspects and a focus on innovative research in
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publication in peer-reviewed journals. Leading a research programme investigating the neurobiology of forgetting. Teaching, mentoring, and examining bachelor’s and master’s degree students, as
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closely with other members of the AI:EcoNet Lab. Requirements: Master’s degree in computer science, data science, mathematics, statistics, physics, software or relevant fields Strong background in machine
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purposes. Our expectations of you We are looking for a academic employee who has an interest in satellite data and wind energy, and that has basic knowledge about computers and software. You must be able
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publication in peer-reviewed journals. Leading a research programme investigating the neurobiology of forgetting. Teaching, mentoring, and examining bachelor’s and master’s degree students, as
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. The successful candidate will play a pivotal role in leading our Master's program in Occupational Health Management and spearheading research initiatives focused on various aspects of psychosocial work
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knowledge of electronics and device wiring Ability to communicate with researchers and translate their needs into technical solutions You may be currently enrolled in a bachelor or master program (for example
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of scientific research. Formal qualifications You should hold a relevant degree at the Bachelor’s or Master’s level in computer science, software engineering, information technology, or a similar technical field
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of midwifery science or reproductive health. The candidate who is hired must complete a Lecturer Training Programme during the period of employment. Research tasks Research tasks within the field of midwifery
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the field of midwifery science or reproductive health. The candidate who is hired must complete a Lecturer Training Programme during the period of employment. Research tasks Research tasks within