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Field
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between biology, chemistry, medicine, physics, and technology and the interdisciplinary approach to research and education aims to further develop the theoretical and practical understanding of the complex
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engineering teams to implement and test models in production environments What We’re Looking For We’re looking for research scientists with a proven track record of applying deep learning to solve complex, high
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, at the Department of Mathematics of the University of Coimbra. Project reference: UID/00324 - Centro de Matemática da Universidade de Coimbra Financed by Foundation for Science and Technology (Fundação para a Ciência
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candidate will have (or be soon completing) a doctoral degree in biomedical engineering, chemical engineering, pharmaceutics, or a related field. The candidate must be highly motivated with evidence of
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are an engaging and diverse academic community. Qualifications: Ph.D. in Chemical Engineering, Biochemical Engineering, or a closely related field. Strong background in materials science, polymer chemistry, and/or
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AI-focused academic courses for master’s and engineering programs and continuing education in AI. The 3IA Côte d'Azur Institute aims for research excellence in the fundamental fields of AI, and in
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This project focuses on reducing aerofoil broadband noise, specifically turbulence–leading edge interaction noise and trailing edge self-noise, commonly encountered in aero-engines, wind turbines
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and testing new bioinformatic pipelines to analyse important public health pathogens. The team comprises research software engineers, bioinformatic engineers, biostatistical researchers, clinical
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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Department: Nanobiotechnology Core Facility – Central European Institute of Technology Deadline: 31 Jul 2025 Start date: September - December 2025 (to be negotiated) Job type: full-time Job field