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hosts a vast variety of computer equipment, from the control of scientific instruments to HPC and multi petabyte storage to office computing and printers. MAX IV is looking for a positive and service
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focus on AI, academic writing, and human-computer interaction. This includes the study of writing conventions within scholarly communities and how these shape the work produced. Job description The
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in computational fluid dynamics Experience in computer programming, in particular Python and Matlab, and in CAD and CAE tools Ability to work independently and also to enjoy collaborating with others
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Learning has an open position for a doctoral student with a background and strong interest in deep generative learning and computer vision/remote sensing. The successful candidate will join a project funded
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a focus on AI, academic writing, and human-computer interaction. This includes the study of writing conventions within scholarly communities and how these shape the work produced. Job description The
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. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical analysis, time-series analysis, etc.). Quantitative methods in
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qualifications: Master's degree in Engineering (M.Sc. Eng.) or equivalent. Experience in handling and processing medical images. Experience in computer programming. Preferred Qualifications Knowledge of 4D Flow
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individuals Good computer literacy In addition, the following education, experience and expertise will strengthen an application: Experience of working with research team Experience and demonstrated expertise
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Engineering, Computer Engineering, Mechatronics Engineering, Physics, Electrical Engineering, Chemical Engineering, Mechanical Engineering or other related subjects. Experience working on experimental
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qualifications Publications at top machine learning or computer vision conferences (NeurIPS, ICML, ICLR, CVPR, AISTATS etc.) are highly meriting. Expertise in Bayesian methods, generative models, multimodal models