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is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
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evaluation. In tto, this is about using Dutch and English, as well as learners’ home or other languages. We will particularly focus on use of FMA in STEM subjects (science, technology, engineering, and
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for the evaluation of regulatory systems and processes. Additionally, within the programme, you will be part of the supervision team for a PhD candidate conducting research in the field of regulatory science and
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within the Exploration Science Office, the Exploration Preparation, Research and Technology Team (ExPeRT) and the Small Lunar Projects Team (HRE-LR) for the preparation and implementation of studies
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master's degree in a relevant discipline such as signal processing, electronic engineering, Earth science, computer science or data science, together with at least 10 years of relevant professional
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PhD position in AI and Human Centered Decision Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 5
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criteria: A PhD in Chemical Biology, Bioorganic Chemistry, Synthetic Chemistry, or related field. Expertise in organic synthsis, compound characterization, biochemical assays, and cell-based assays. Prior
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domains: Health Technology, Maintenance, Smart Regions, Smart Industry and Sustainable Resources. Our faculty is home to about 2,900 Bachelor's and Master's students, 550 employees and 150 PhD candidates
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Website https://www.academictransfer.com/en/jobs/357989/add-ream-3-phd-positions/apply/ Requirements Specific Requirements A Master’s degree in Mechanical Engineering, Materials Science, Industrial
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Engineering, at Maastricht University invites applications for a full-time Assistant Professor position in Computer Systems with a focus on Security. We are seeking a scholar whose research and teaching