159 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Sweden
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- Chalmers University of Technology
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organisations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Postdoctoral fellows who are to teach or supervise
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics) at the Department of Computer Science, Electrical and Space
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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in computer science, mathematics, statistics, bioinformatics, or equivalent. The candidate should have previous experience in bacterial genomics, machine learning/artificial intelligence, preferably
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data and clinical information. Applicants must hold (or be close to completing) a PhD in a relevant field and have expertise in modern computer vision and AI research. Experience with biomedical data
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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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of PhD and MSc students, teaching and supporting in acquiring funds for future research projects from research funding agencies/councils, EU framework program or industry. Qualifications Eligibility
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systems, and machine learning. While the initial focus of the position is on this project, we offer significant opportunity for the applicant to develop their own independent research trajectory in
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. The applicant should be proficient in written and spoken English, and have good computer skills (e.g Word, Photoshop, BioRender, Excel). Also, it is important that the candidate demonstrates independence, as
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great advantage: Forest and wood production processes Wood construction Furniture manufacturing Wood material science Machine learning Process simulation and optimisation The postdoctoral fellow is part