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técnicas de machine learning e IA. Sólidos conocimientos en análisis y tratamiento de datos, programación y desarrollo de modelos analíticos. Experiencia con bases de datos y herramientas de análisis
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The University of Helsinki (https://www.helsinki.fi/en ), founded in 1640, is one of the world’s leading universities for multidisciplinary research. The university has an international academic
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information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2026/niels-van-berkel/. Your competencies You hold, or will
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in scientific conferences and presentation of research findings; active participation in teamwork, including collaboration with team members in carrying out interdisciplinary research tasks; complying
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 21 hours ago
-adaptive systems. We focus particularly on two properties: self-healing and self-optimization. With self-healing, we aim to study and adapt data mining and machine learning solutions to the design and
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development of explainable and interpretable classical and quantum deep learning algorithms - Design and development of hackathons and other collaborative methodologies to promote the control of artificial
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, cognitive psychology, or a related field. You demonstrate strong collaboration skills and the ability to acquire new skills and technologies. Outstanding spoken and written communication skills are essential
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learning. Theoretical and applied research into the capabilities of quantum computing and quantum advantage is a key focus across four application domains: bioinformatics, plant breeding, biomaterial
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immune/leukemia cell state dynamics. You will have the opportunity to collaborate with a wide-reaching international and interdisciplinary team of leading experts in leukemia biology, immunology, gene
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) composites, with experience in testing, manufacturing, or modeling preferred. Working within a collaborative team of PhD-level scientists and undergraduate student, the successful candidate will conduct