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Field
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and the laboratory. You will be technically competent, and happy to develop your skills using a range of scientific equipment, measuring devices, and associated software. Some of the equipment commonly
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executable. This is a challenging research project at the intersection of AI, NLP, and software engineering, with applications in life sciences and beyond. We are looking for highly motivated applicants for a
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transferable skills such as HPC software development, extensive physical understanding of turbulent flows, and experience in modern ML architectures such as neural operators and transformers. The expected start
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, resulting in publications at top-tier international conferences and journals; Develop theory, implementations, and open-source software for hyperbolic deep learning; Collaborate with other PhD students and
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the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes
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and fundamental areas. The candidate will develop transferable skills such as HPC software development, extensive physical understanding of turbulent flows, and experience in modern ML architectures
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publish their research in top journals in marketing as well as related fields. They deeply care about open science practices (e.g., data sharing and open-source software) and frequently host seminars
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of Prof. Frans Cornelissen at UMCG, as well as with the multidisciplinary project team comprising academics, clinicians, and software developers, to achieve the project’s objectives. The successful
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analysis, has good software skills (Python, C++, ROOT) and has (some) research experience in experimental particle physics. Experience with machine learning algorithms and software is desirable but not
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physics or in a closely related field. The ideal candidate has a strong interest in data analysis, has good software skills (Python, C++, ROOT) and has (some) research experience in experimental particle