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you must have a PhD or a foreign degree equivalent to a PhD in applied geochemistry, biogeochemistry, microbiology, algal biotechnology, environmental sciences, Earth sciences or similar. A doctoral
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intelligent decisions across society, advancing machine learning techniques, from foundations to industrial and scientific applications. About the research project You will work in Julian Togelius' new research
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within several ongoing projects. The division consists of researchers with broad and complementary expertise, including professors, researchers, postdoctoral fellows, PhD students and technical staff
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 6 hours ago
lab results to predictive reservoir models. Through this project, the participant will learn about hands on lab experience, modeling, and presenting and publishing results. The participant will: (1
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Job related to staff position within a Research Infrastructure? No Offer Description About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning
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engines for unmanned aircraft systems (UAS), and sustainable aviation fuels for urban air mobility (UAM). The candidate will work in a multidisciplinary environment consisting of PhD-level scientists
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Master’s degree or PhD in Engineering Physics, Materials Science, Engineering or a similar discipline The ability to work independently, a willingness to learn, and a team spirit Good English skills
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About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards
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contexts where multiple humans and multiple autonomous systems are involved. Runtime models (e.g., behavior trees or state machines) will be used to support adaptive coordination and increase the flexibility
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workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in