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on the combination and interpretation of these data. Creating data analysis protocols for allowing comparison of ground-based measurements that are made using diverse detection methods across different spatial and
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develop analysis pipelines to analyze high dimensional spatial and single-cell data of cancer and immune tissue from patients and pre-clinical studies and should have a strong background in both
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or other forms of appointment/assignment relevant to the subject area. Required skills: Strong background in aquatic ecosystem science Proficiency in GIS and analysis of long-term environmental data
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., phylogenetic analysis) You have personal integrity and take initiative. You are resilient, and do not give up easily. You are well structured as a professional and driven to achieve a high level of quality
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bioinformatics methods have made significant strides, AI approaches - particularly deep learning - are revealing patterns and relationships in biological data that were previously inaccessible. As a postdoctoral
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communication skills in English. Strong skills in programming and data analysis. Track record of scientific publications in international peer-reviewed journals. Meritorious qualifications include: Experience
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and Data Science for Spatial Genomics in Diabetes This position centers on the development and application of machine learning, image analysis, and integrative omics approaches to spatial
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share and co-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna. Further information can be found at http://ki.se/en/meb Division
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communication skills and fluency in written and spoken English Meritorious experience and skills Experimental research related to deterioration mechanisms, particularly reinforcement corrosion Data and image
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, planning, and performing experiments, including tomography and mechanical testing. You will be responsible for designing, planning, and performing image analysis, dealing with large data sets. The project is