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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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parasitology, immunology and with relevant experience in molecular and bioinformatic research methodologies. You must have strong interpersonal and communication skills and demonstrated your ability
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machine learning is emerging as a promising avenue for solving problems in physics and engineering. Particularly, physics-informed neural networks (PINNs) have shown remarkable potential to solve problems
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in a variety of national and European projects and features a strong network of academic and industrial partners. We solve challenging research problems from real applications and implement novel
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collaborative research environment with strong interconnection between experimental and theoretical physics. We provide a large network of collaborators to develop ideas and new projects. Excellent experimental
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an open, international team with flexible work organization and support of individual development. The Centre is involved in a variety of national and European projects and features a strong network of
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development. Training in state-of-the-art technologies and data analysis as well as research management, oral and written communication, and networking. Access to state-of-the-art equipment and facilities and
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OpenFoam and developing solvers therein. In addition, the selected candidate is expected to have: Good publication track record, High level of motivation and independence, Good English communication skills
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OpenFoam and developing solvers therein. In addition, the selected candidate is expected to have: Good publication track record, High level of motivation and independence, Good English communication skills