73 web-developer "https:" "https:" "https:" "Newcastle University" scholarships in Switzerland
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thin films for emerging technologies. By combining state of the art physical vapor deposition, high throughput experimentation and data science, we develop thin films with enhanced performance and
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project “Responsible AI for the Swiss Judiciary” at ETH Zurich. The project develops and evaluates AI-based prototypes to support judicial decision-making, with a focus on real-world applicability. It
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the last ice age. The successful candidates will develop high-resolution palaeoecological records of aquatic invertebrate assemblage change, particularly focusing on the remains of chironomid (non-biting
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responses, and institutional implications. Core responsibilities include: Studying judicial decision-making and legal reasoning in the presence of AI tools Contributing to the development of experimental
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universities, research institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates training, exchanges, and career development for PhD students and
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Law, CRCF). It will develop AI tools to map and predict soil health across space and time, accelerate literature reviews, extract best management practices from long-term experiments, and design methods
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applications for two PhD positions in the field of organic geochemistry and paleolimnology (https://duw.unibas.ch/en/research-groups/organic-geochemistry/ ). The students will be part of the SNSF-project ECO
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challenging real-world tasks. They will also explore reinforcement learning strategies to optimize decision-making policies in complex environments, and develop fine-tuning protocols for large pre-trained
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an environment that encourages academic freedom and scientific independence. In line with our and Uni Basel values ( https://www.unibas.ch/en/Research/Values-Ethics/Diversity-and-Inclusion.html ), we are committed
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of electrical engineering are an asset. Candidates should be able to prepare and conduct greenhouse experiments with tree seedlings and independently conduct statistical analyses with R. Candidates