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, Python and/or R, and ability to manage and structure large datasets is essential. Interest/skills in application of AI methods to clinical data is an advantage. Stipend 2: Genetic Risk Communication and
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research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and
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Course language English and German Current information Application deadlines: 15 March and 15 September Financial support No Structured research and supervision Yes Research training / discussion Yes
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carbon allotropes influence MAX phase formation, structural evolution, and the resulting MXene architecture. By systematically tuning the carbon environment during synthesis, the project aims to synthesise
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: Engineering design & CAE (e.g., structural/thermal/fluids workflows) Chemical and process industries (e.g. optimization, control, surrogate models) Related computational engineering problems where simulation
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variety of issues - including bandwidth, size and weight - which preclude their use across many technologically significant applications, such as small/compact, lightweight structures, and complex-shaped
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thermodynamics by water and electrolytes (REMOTE)”, which aims to unravel the intricate relationships between fluid structures, molecular interactions, and macroscopic properties, deepen the fundamental
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film flow within the microscopic seal gap. Couple CFD with Structural Models: Study the fluid-structure interaction (FSI) and dynamic response of seal rings under real-world conditions. Collaborate with
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, energy production and transmission, construction of data centres and various other forms of infrastructure. More projects of this kind will be needed if aiming at continuing to follow the prevailing socio
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jointly learn from images and text, most current systems are still limited in three important ways: they primarily rely on statistical pattern recognition rather than structured clinical reasoning