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with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That’s why we
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the Division for Computer network and systems and the employment is placed with Chalmers University of Technology. Our research spans from theoretical computer science to applied systems development. We provide
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. The position is placed in the Division for Computer Networks and Systems and is formally employed by Chalmers University of Technology. Our research spans from theoretical computer science to applied systems
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systems. Advanced programming skills. Academic writing skills and the ability to typeset papers in LaTeX. It is highly meritorious if you enjoy working with math notation and formal proofs. Alternatively
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consequences of keel bone deviations: What impact do these have on hen behaviour and wellbeing? high-tech welfare assessment: Help develop a non-invasive computer vision method to track and analyze how hens move
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: Quality of the master degree in a relevant area Written and oral proficiency in English Capacity for analytical thinking and quantitative analysis Ability to work independently, to take initiative and be
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Experience with performing laboratory experiments Ability to work with large data sets (> 500 GB) Numerical modelling Main responsibilities Independent research and research training (80% of time) Support for
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thinking and quantitative analysis Ability to work independently, to take initiative and be creative Ability and willingness to work collaboratively in a team, including with people of different nationality
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the entire industrial process — from identifying needs to delivering the final product — while generating added value. The department stands out both nationally and internationally through its ability
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: Help develop a non-invasive computer vision method to track and analyze how hens move in 3D space. You will gain hands-on experience in behavioural studies, animal welfare science, and innovative data