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, clinical data and AI-driven modelling for cancer research! In this role, you will bridge the gap between machine learning, computational biology, and haematological oncology. You do not need to arrive as an
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science, electrical engineering, etc.) and you were at the top of your class. Excellent analytical skills and a solid basis in machine learning and/or operational research. You can understand literature in both
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the project, you will contribute to scientific reports, present research findings to academic and professional audiences and help advance knowledge in the fields of Human-Computer Interaction, Digital Health
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the context of Boltzmann machines and neural networks, where stochastic binary units can efficiently perform computational tasks that naturally involve randomness, often more efficiently than deterministic
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of the clinical context where academic research is performed and data are collected. Proficiency in data science, large multidimensional and combined analysis of different data sets, e.g. with machine learning
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20 Jun 2026 Job Information Organisation/Company Maastricht University (UM) Research Field Computer science » Computer systems Computer science » Programming Researcher Profile Leading Researcher
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microelectronics through pioneering research in digital design, machine learning hardware, and emerging computing paradigms. Job description The future of healthcare, communication systems and autonomous
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11 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Computer systems Computer science » Database management Researcher
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of the project thereby complementing the human data analyses performed in Maastricht. Post-translationally modified proteins (PTMs) and their antibodies have been long-implicated in the etiology of auto-immune
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is to be the “EO innovation hub” connecting EO with a growing ecosystem of disruptive and transformative innovations such as AI, machine learning, quantum computing, edge computing, metamaterials and