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Field
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simulation-assisted performance feedback regarding initial design concepts. We will explore how AI systems can augment professionals’ creativity toward concurrent optimization of human health and energy
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to explore GNSS Reflectometry (GNSS R) as a novel, low cost, low power bistatic remote sensing technique optimized for nanosatellite platforms. GNSS R leverages signals of opportunity from existing
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of the data in order to decode the mode of action of NPPs in the context of mammary tumorigenesis. The doctoral research program is structured around two integrated research axes: Axis 1: Colloidal
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
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creation of tender documents, specifications, and requirement structures. 2D and 3D spatial reasoning, including general arrangement exploration, layout optimization, and constraint-aware geometry generation
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, specifications, and requirement structures. 2D and 3D spatial reasoning, including general arrangement exploration, layout optimization, and constraint-aware geometry generation. AI-based performance assessment in
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to investigate all aspects of biogenic dyes, from the identification of dye-producing bacteria and the characterization of their pigments, through the optimization of their production and application
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an emphasis on reaction development and optimization. Training BioProcess aims to train the next generation of bio-innovators. Our interdisciplinary programmes prepare PhD students and researchers with the real
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
photoelectrochemical applications. The project targets the synthesis of metal oxide-based thin film materials, with a strong emphasis on process design, optimization, and integration through the coupling