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learning, bioinformatics or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide
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, and Umeå University. HPC2N is operating high-performance parallel computer systems and networks, large-scale disk and tape storage systems. All levels of user support are offered, to make sure
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of the projekt We aim to discover and study the function of new proteins involved in innate immune processes against pathogens. We will use a combination of computational and experimental approaches. The position
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provide user training on EM methods. Work assignments include, operation and maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection
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on EM methods. Work assignments include, operation and maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection, and image analysis
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. Use advanced data processing services to perform bioinformatic analysis. Apply machine learning methods to complex sequencing and protein structure data. Qualifications You should have a minimum a high
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. Project description Autophagy is an evolutionarily conserved self-eating process mainly purposed to eliminate or recycle dysfunctional cellular organelles or unused proteins. Autophagy plays an important
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printing with concrete, and UMA will contribute by exploring new building design with biomass in the 3D printing process. Your primary tasks include: 3D modelling using Rhinoceros 3D and Grasshopper software
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planning and optimization tools for surgery and post-surgery units at Norrland University Hospital. Using statistical modelling and machine learning, we aim to create a digital twin of these units, which can
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the development and/or utilization of solution-processable emitters for the attainment of white and/or blue light emission. It is further preferable if you are interested in both academic publishing and in