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occupational pension scheme. Duties The postdoctoral fellow will conduct research together with business partners in the field of AI-based systems for digital health, with a focus on impact and risk assessments
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formal requirements, the most successful candidate will be selected based on the following merits – although full training will be given: Preference is given to individuals with a background in mouse
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on LLM-based risk analysis and demonstrate its applications in various risk control measures. You will collaborate closely with other researchers at the division and contribute to building a shared
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and helpful atmosphere. You can read more about us here: https://internt.slu.se/cv-originalen/anna-rising/ At the Department of Animal Biosciences, we teach and research in areas from molecular
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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large part of the experimental work takes place at large scale facilities, using imaging, scattering and spectroscopy-based techniques. The group strives for an inclusive environment, largely based
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be included, but up to no more than 20% of working hours. The position shall include the opportunity for three weeks of training in higher education teaching and learning. Qualifications required
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the developmental rules underlying phenotypic variation. The successful postdoctoral fellow will develop and implement an empirical framework that utilizes data-driven algorithms to learn relationships between past
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universal cryo-Cage for structural analysis of refractory targets based on EF-hand complementation. Work duties The main duties involved in a post-doctoral posistion is to conduct research. Teaching may also
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, computational materials science, computer science, or a related field, awarded no more than three years prior to the application deadline*. Background in physics-based battery modelling and/or machine learning is