65 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " positions at University of Lund
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Description of the workplace The Department of Building and Environmental Technology has a stimulating and international environment consisting of doctoral students, postdoctoral fellows and
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microchannels. The research is closely linked to the research at the medical faculty within both biomedical and clinical research, with the goal to develop new technology to sort, manipulate and analyse cells and
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lightsources in the world? MAX IV is looking for a RF Engineer who will take an active roll in MAX IV RF systems operational, maintenance tasks and R&D for these systems. Even though already functional, these RF
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an umbrella organization and builds on four pillars: Qualitative methods; Experimental methods; Computational Social Science, as well as Skill School (https://www.sam.lu.se/en/research/lund-social
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Description of the workplace The doctoral student will be employed at the Department of Computer Science, where research on engineering of large-scale software-intensive systems is conducted in
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signal measurement and triggering, detector knowledge, motion technology (stepper motors and nano positioning), optics and lasers, building, commissioning, and supporting instruments. In addition, share
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from academia and industry. The LNL team includes 11 highly qualified scientists, engineers and technicians, including a number of Ph.D’s, who are focused on keeping the facility running, equipment
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Description of the workplace The position is located at the Division of Industrial Electrical Engineering and Automation ,IEA , LTH, Lund University. Our mission is to conduct research and provide
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protection and security, work environment safety and environmental safety at the MAX IV Laboratory. The team is now looking to employ an expert within machine safety. As the sole machine safety engineer, you
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institution affiliated with both the Faculty of Engineering (LTH) and the Faculty of Science at Lund University. Within the division of Computer Vision and Machine Learning, there are several senior researchers