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Field
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and to develop novel devices. The overall aim of the lab is to develop new technologies to combat healthcare challenges and design novel tools for early diagnostics and solutions for digital medicine
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applying methods in different domains. In an overall assessment of suitability, emphasis is also placed on personal abilities. All employees at MDU are expected to cooperate and treat colleagues and students
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and optical communication systems Knowledge of digital communication systems, signal processing, and machine learning Proven experience in implementing and simulating optical fiber communication systems
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assessment of suitability, emphasis is also placed on personal abilities. All employees at MDU are expected to cooperate and treat colleagues and students with respect, take responsibility for the organisation
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13 Sep 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Computer systems Computer science » Other Researcher Profile Recognised
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approaches to determine which patients are most likely to benefit from specific therapies. Digital pathology and image-based analyses (starting): Developing and applying computational methods to analyze kidney
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research group has a long standing interest in integration of multi-modal data, in which you will also receive training from a senior colleague. The opportunity to develop Digital Twin projects are also open
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strategies: Leveraging traditional and causal machine learning approaches to determine which patients are most likely to benefit from specific therapies. Digital pathology and image-based analyses (starting
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available via a shared digital platform. Hycogen 2 investigates how surplus heat from hydrogen production can be utilized efficiently. During electrolysis, approximately 30% of the energy is converted
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postdoctoral to join our group working on thermal catalytic conversion of CO₂ to solid carbon. The project aims to develop efficient and electrified processes that transform CO₂ into valuable carbon materials