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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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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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and Microbial Ecology.” The project integrates human genetics, molecular biology, microbiology and microbiome analysis to investigate how host genetic factors shape the oral microbial ecosystem
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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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at both local and global scales, and contribute to the Thermal Ecology Alliance. Therefore, the PhD student will have excellent opportunities to develop a large collaborative network and address broad
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collaborative network and address broad questions in global change biology. The projects will be primarily supervised by Patrice Pottier, and co-supervised by Prof. Fredrik Jutfelt at the University of Gothenburg
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 15 days ago
fluid and cognitive measures, for early detection, disease staging and prediction of progression. The project is embedded in an international supervisory network spanning Gothenburg, Stockholm, Barcelona
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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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nutrition, such as: analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and