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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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, innovative, and dynamic research projects. They will learn the routine lab techniques and build strong analytical skills. The work between the two labs is at the interface of biology and engineering, employing
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computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
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, longer-term epistemic capacities through hands-on, situated experiences. Central to the project is the integration of these technologies into real classroom and laboratory settings, ensuring contextual
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for the position is January 2026, with some flexibility between November 2025 and March 2026. We are looking for CMS members from across the collaboration with a Ph.D. in particle physics and an established track
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vibrant research environment supported by robust infrastructure and extensive collaborative networks. Expected start date and duration of employment This is a 1–year position from 1 September 2025 or as
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-specific challenges in deploying distributed AI for power system control. The outcomes will be invaluable to electricity system operators, flexibility aggregators, and the broader energy research community
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care systems. About the role We are seeking an enthusiastic Research Assistant with a background in social science, participatory action research and creative methodologies, and an interest in social
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control subjects based on diffusion MRI images and functional MRI responses. Duties include: Developing machine-learning and/or deep learning pipelines for classifying patients of optic neuropathies and
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Social Care (CARE-HSC), aims to address and dismantle structural factors that perpetuate racial discrimination and harassment within care systems. About the role We are seeking an enthusiastic Research