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these techniques to real-world problems, particularly in wave-based imaging and medical applications. This position is part of the Finnish Inverse Problems Society and the FAME Flagship initiative, offering
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of water engineering, including hydrological modelling, cold climate hydrology, hydrological process studies, groundwater research, water quality, water management, water supply, treatment, and protection
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from you: Master's (doctoral researcher) or PhD (post doctoral researcher) degree in psychology, neuroscience, medicine, engineering, computer science or other relevant field. Background in cognitive
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will design and implement novel computer vision and machine learning methods for “sensorized” cameras that extract medically relevant features without transmitting raw video. You will evaluate algorithms
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ecological and evolutionary processes. Through the integration of paleontological, geological, geochemical, and biological data, the project aims to uncover how Earth’s systems, climate, and life have
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, sustainable metals reduction processes, and hydrogen resistant steel development to a unique, holistic, multidisciplinary research community with ambition in enabling green and sustainable hydrogen transition
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during the selection process. We welcome applicants from all backgrounds, such as people of different ages, different genders, and members of different linguistic, cultural, or minority groups. Contact