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Field
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analysis to better understand how molecular and cellular processes are coordinated across cells, tissues, and organ systems in human health and disease. You will be responsible for developing and applying
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control with Git, typesetting with LaTeX, use of Linux computers; Experience with convolution and transformer-based neural networks for image analysis; Experience with graph-based methods, and graph
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international professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ Project description The project focuses on the design and analysis of modes
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 19 days ago
University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral-studies Duties The PhD education in Medical Science comprises carrying out a scientific project
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qualitative process methods (path tracing) and semi-quantitative network methods (socio-technical configuration analysis, STCA), and contribute to the project's methods development compare cases across sectors
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of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral-studies We offer The University of Gothenburg is a state authority, which means special benefits, more holidays
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University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral-studies We offer The University of Gothenburg is a state authority, which means special benefits
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utilization. Duties The PhD student will participate in all stages of the research process. Duties include planning and conducting feeding trials with dairy cows, sampling and analysis of biological materials
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Department, Systems and Data Analysis, Fraunhofer-Chalmers Centre E-mail: [email protected] Phone: +46 730 794303 Where to apply Website https://academicpositions.com/ad/chalmers-university
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computing using clusters like UPPMAX and GPUs for high-performance computing are essential. While not required, experience in genetic and omics data analysis and visualization, and familiarity with network