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Description of the workplace The position will be based at the Division of Computer Vision and Machine Learning (CVML) at the Centre for Mathematical Sciences (https://www.maths.lu.se). CVML has
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driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize workflows when developing therapeutic antibodies Duties – what we expect from you As an
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evolutionary analysis. A central component of the research will be to develop machine learning and deep learning methods trained on coding sequences and protein structure to extract patterns in data and to draw
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such as energy, industry, consumption, and urban development. At the research frontier, the application of AI and machine learning is enabling novel pathways for sustainability transitions. These include
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strong expertise in control theory, machine learning, and probability. You will also collaborate with: Vehicle Safety Division , which applies systems engineering and human factors to improve traffic
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learning in higher education and also get the opportunity to learn Swedish through the University’s Swedish language courses for new international staff. We offer you support for the move to Sweden. If you
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lecturer, and – depending on your future development – eventually professor. You will receive five weeks of training in teaching and learning in higher education and also get the opportunity to learn Swedish
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lecturer, and – depending on your future development – eventually Professor. You will receive five weeks of training in teaching and learning in higher education and also get the opportunity to learn Swedish
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analysis and design are performed and can lead to novel high-performing methods for applications in machine learning, control, and beyond. Both PhD students will be financed by WASP – the Wallenberg AI
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related field. Background in physics-based battery modelling and/or machine learning is considered a strong merit. Excellent communication skills in English, both written and spoken. Contract terms Full