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at least 1 million DNA barcodes. The project involves collaboration with a computer vision lab at Linköping University, focused on developing AI-assisted techniques for picking out specimens for genome
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changes and established markers for Alzheimer's disease. The project may also include machine learning methods to estimate individuals' biological age. The project is based on existing data from a prominent
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computer. The WACQT team at Chalmers currently has about 100 members (faculty, permanent research staff, postdoctoral researchers, PhD students, and undergraduate students). WACQT is committed to promoting
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, performing basic engineering calculations (flow and pressure drop in perforated pipes, estimation of air demand), assisting in preliminary system design, and supporting simple numerical simulations. The role
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measurements, vegetation inventory and biodiversity assessments for a set of diverse continuous cover forestry systems in boreal Sweden. The project will develop bottom-up estimates of the forest ecosystem
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for foreign researchers who place their qualifications in Sweden. Duties and profile This postdoctoral project is focused on applied AI-based computer vision and precision cancer medicine research centered
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(AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods that blend traditional disciplines
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initiative to develop a quantum computer based on superconducting circuits. Part of the project is also to solve specific problems related to this goal. A key challenge in this effort is mitigating errors in
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applied machine learning projects in, e.g., computer vision, in close collaboration with industry partners. The position is not connected to an existing project, so the postdoc fellow will either join an
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. Demonstrated skills in Python programming, or other computer programming. Strong interest in data science, such as data collection and curation, modelling. Excellent written and oral English communication skills