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perspectives, collaboration, and societal responsibility. You will join the Division of Software and Computer Systems at KTH, working with colleagues across disciplines in computer science, history of technology
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statistical techniques, machine learning or artificial intelligence in subject area of the position. Connection of the research to infrastructures which Sweden or the department are already involved in. Terms
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applying deep learning and/or machine learning models to medical imaging data. Other information This is a permanent position, 100 % of full time. Starting date in October 2025 or according to agreement. How
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analyses and machine learning. Some data for the project already exist, but additional data will be collected from behavioural tests on privately owned pet dogs in Sweden and abroad (Europe). Travel and time
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chemical and mineralogical analyses (e.g., XRD, SEM, geochemistry). AI and machine learning applications: Develop and apply AI methods to identify patterns and relationships between geophysical parameters
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through the application of both well-established statistical modelling and newer machine learning methods. The research specialist will be integrated in the computational team led by John Wallert
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methods relying on machine learning, artificial intelligence, or other computational techniques. Duties The position includes research, teaching and administration. Duties includes conducting research
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work with large-scale behavioural data sets using a range of approaches, including heritability analyses and machine learning. Some data for the project already exist, but additional data will be
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neural networks / machine learning. After the qualification requirements, great emphasis will be placed on personal skills. Target degree: Doctoral degree Information regarding admission and employment
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systems. This PhD project, part of a national initiative, aims to use AI to design and optimize thermal interface materials (TIMs). It combines machine learning, materials informatics, and experiments