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own research question within this area. The project is mainly intended for quantitative methods but is to some extent also open to qualitative methods. As a doctoral student, you will read doctoral
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: https://wasp-sweden.org/ Project description Trustworthy machine learning is an umbrella term that provides methods and tools to ensure that AI and ML systems are verifiable, robust, secure, privacy
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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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basic eligibility requirements for third-cycle studies in applied economics. Candidates must demonstrate knowledge of research methods in applied or agricultural and food economics, as well as strong
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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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the electronic properties of organic semiconductors through light-driven chemical doping. The work will involve combining tailored materials design with advanced characterization methods to enable new device
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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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a focus on visual language grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The
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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