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Field
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have: A completed PhD in educational sciences, psychology, sociology or related field; Demonstrable interest in neurodiversity, disability or higher education studies; Strong communication skills in both
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human behavior, and the need for personalization. Resource-Efficient AI: You will ensure your models are lightweight enough to run on edge devices, balancing accuracy with energy consumption and
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well as the database construction to advance survey astronomy. Projects range from AI-oriented astrophysics and cosmology, such as simulation-based inference, AI-based data reduction, and AI-based accurate modeling and
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challenges and thrives in a collaborative environment. In addition, you bring the following qualifications: a PhD-degree in chemistry, biochemistry, molecular biology, biotechnology or related discipline
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An already acquired Phd in Electrical Engineering, Computer Science, Applied Mathematics, or a relevant field Affinity for formal and simulation models, as well as algorithmic solutions to problems
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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. Jarli & Jordan/UiO via Unsplash Jarli & Jordan/UiO Selection criteria Mandatory requirements PhD or equivalent academic qualifications with a specialization in human movement science, gesture studies
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Division of Geoscience and Remote Sensing , we develop advanced methods and instruments to observe and understand the Earth system. Combining satellite, airborne and ground-based measurements with modelling
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Description The Smart Materials Lab (Panče Naumov Group) at the Division of Science and Mathematics, New York University Abu Dhabi, seeks to recruit a highly motivated post-doctoral candidate in
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Etchells at Durham Biosciences and Dr Natasha Savage at the University of Liverpool, aimed at understanding cambium development in the model species Arabidopsis. The position is based in Durham in the lab