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Field
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position The PhD student will: Develop machine learning models for digital phenotyping and genomics Work with multimodal datasets (images, 3D data, motion, genomics) Implement models in Python (e.g. PyTorch
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ELLIIT collaboration, in which BTH leads computational and applied AI development. Research focus The PhD project will focus on the development of scalable and efficient machine learning approaches
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15 Apr 2026 Job Information Organisation/Company Graz University of Technology Department Institute of Machine Learning and Neural Computation Research Field Computer science Researcher Profile
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prediction to process optimization. The focus of this PhD project is to develop and apply machine learning methods across three interconnected tasks: 3D microstructure characterisation. The student will
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to work at Uppsala University. Duties The PhD student will carry out research in signal processing and machine learning with a strong emphasis on theoretical foundations. The PhD student will actively
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, multi-agent systems and data-driven optimization. Basic skills and knowledge of machine learning principles. A good understanding of practical engineering challenges with a view towards impact. Personal
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Engineering » Computer engineering Engineering » Control engineering Engineering » Industrial engineering Engineering » Systems engineering Chemistry » Analytical chemistry Agricultural sciences » Agronomics
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PhD Scholarship - Zema Energy Studies Scholarship Domestic opportunities in Engineering, IT and Business and Economics Job No.: 692976 Location: Clayton / Caulfield Employment Type: Full-time
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Engineering or related fields. Be enrolled in a doctoral program in the scientific area of Electrical Engineering. Willingness to work in the developing of signal processing and machine learning algorithms
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this goal, doped-diamond systems will be considered. The thermal stability of selected compounds under operating conditions will be assessed by means of molecular dynamics simulations with Machine Learning