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PhD degree, or a foreign degree equivalent to a PhD degree, in physics, materials science, computer sciences, or a similar area of science. The degree needs to be obtained by the time of the decision
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and learning in higher education. Additional requirements are: A PhD in biochemistry, molecular biology or a related field. Experience with cultivating and monitoring bacterial growth in anaerobic
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include the opportunity for three weeks of training in higher education teaching and learning. The fellow will be expected to lead/contribute to research linking vegetation modelling with the LPJ-GUESS
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on earlier and on-going research on automated data collection in organs-on-chip, a new project is now being initiated to explore how machine learning and the combination of different types of data (optical and
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Laue-Langevin (ILL), France, the International Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. Your work
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, advanced behavioral methods, machine learning and eye tracking (simultaneously in two participants) will be used to identify cues that the brain uses to determine another person’s direction of covert
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Intelligence Research. Requirements PhD degree in machine learning, deep learning, computer vision or another nearby and relevant field or a foreign degree equivalent to a PhD degree within machine learning
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amounts of data from different sources. - Very good programming skills - Experience in applied AI and machine-learning methods. - Good knowledge of spoken and written Swedish. Research expertise is the
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International Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. Your work may include clinical and biomedical projects
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well as healthy older people. You will be using generative machine learning models, which may include different approaches of generative deep learning (e.g., generative adversarial networks and diffusion-based