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, interviews and/or focus groups; Solid knowledge in the field of health; Experience in the development of interactive digital tools or educational platforms (valued but not mandatory); Fluency in English
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development of post-graduate students. Particular attention will be given to candidates with experience in topics that are relevant to data science, most notably mathematical and algorithmic foundation
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, such as new topological states, magnetism, electrical/thermal transport, superconductivity, and corresponding material predictions. (2) Develop numerical algorithms and computing software, such as
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the development, evaluation and application of innovative AI, machine learning and systems approaches to modeling biomedical big data for precision health. We are particularly interested in AI methods
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 2 months ago
into the high-performance code hawen (https://ffaucher.gitlab.io/hawen-website/ ) with the support of the development team, enabling their application to real-world applications. The program will be divided
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agriculture (CEA) by applying artificial intelligence, computer vision, and mechatronics for hyperspectral plant monitoring. The Research Associate will contribute to developing AI-enabled systems for plant
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the Department of Computer and Information Science and Engineering (CISE). We seek applicants with expertise in Privacy and Cybersecurity. Ideal candidates will have experience developing privacy and cybersecurity
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu ) is a biomedical research center in the UNESCO-world heritage city of Regensburg. Our objective is to
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of Charging Optimization Algorithms; 3. Implementation and Computational Validation; 4. Impact Analysis and Strategy Definition; Where to apply Website http://www.unical.it Requirements Additional Information
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large datasets. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses