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to references will be requested after the interview. We welcome your application no later than July 12th, 2025 For questions, please contact: Associate Prof. Jinhua Sun, jinhua@chalmers.se Prof. Uta Klement (Head
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested developing new machine learning methods for precision medicine and
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: The evaluation will be conducted on an ongoing basis, and the advertisement will remain open until the positions are filled. For questions, please contact: Dr. Giovanna Tancredi tancredi@chalmers.se Prof. Jonas
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parallel to what has recently been shown in human gut health, microbial diversity on both leaves and roots is an important factor in overall plant health. However, the connections between plant disease and
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Trustworthy machine learning is an umbrella term that provides methods and tools to ensure that AI and ML systems are verifiable, robust, secure, privacy-preserving, and ethical, which leads to greater adoption
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leaves and roots is an important factor in overall plant health. However, the connections between plant disease and plant-associated microbial communities are not well known. Prevalent plant pathology
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develops an adaptive AI-guided XR platform for capturing and transferring expert manufacturing knowledge. Your focus will be on developing AI methods for analyzing and modeling human workflows based on data
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consequences of keel bone deviations: What impact do these have on hen behaviour and wellbeing? high-tech welfare assessment: Help develop a non-invasive computer vision method to track and analyze how hens move
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materials and resource efficiency by developing a new method to produce ZERO-emission concrete using only recycled materials. Duties As a PhD student, you will perform both experimental and theoretical work
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: Help develop a non-invasive computer vision method to track and analyze how hens move in 3D space. You will gain hands-on experience in behavioural studies, animal welfare science, and innovative data