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The Department of Mathematics and Mathematical Statistics, Umeå University, invites applications for a two-year postdoctoral fellowship in data-driven analysis of a subarctic ecosystem near Kiruna
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tasks include development of adequate single-molecule labeling strategies, optimized use of high-precision MINFLUX microscopy, and establishing methods for data precision analysis. What we offer A
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specialized knowledge in cardiovascular genetics and bioinformatics skills relevant to the analysis of microRNA and sequencing data. More information about the position The appointment is a full-time, fixed
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purification and characterization of membrane proteins is strongly desirable. Previous experience of biophysical analysis techniques such as ITC, QCMD as well as cryo electron microscopy is highly valuable
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radioisotopes to track sources and ages of different carbon components. The postdoc will lead the acquisition and analysis of aquatic water chemistry data, collected in different Arctic settings such as northern
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providing autonomous solutions to optimise the cost of monitoring programmes. We’re looking for a postdoctoral researcher to join this effort, combining tools from statistical learning, sparse data analysis
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in the area began in the mid-1980s and currently includes (i) Geometry and computer vision (including analysis of video, audio, radio, and radar signals), (ii) Medical image analysis, and (iii) Machine
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postdoctoral position in data analysis, where you will apply machine learning techniques to understand how resistance genes spread and to help detect infections caused by resistant bacteria. The position is part
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description The postdoctoral project is focused on development and the exploitation of machine learning tools to accelerate the analysis of microtomography data at the MAXIV synchrotron facility. MAXIV
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Anders Ståhlberg’s research group at Sahlgrenska Center Research for Cancer. Our long-term goal is early cancer detection and to personalize the treatment of each patient. Additional information about the