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systems, including methods for colloid characterization Spatially resolved surface analysis using interference microscopy and autoradiography Derivation and parameterization of mechanisms Interdisciplinary
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molecular biology, including primary cell culture and ideally some experience with 3D systems. Familiarity with spatial or transcriptomic approaches and image analysis would be an advantage. We are looking
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Your Job: Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell
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partnerships in the CTI and beyond. You will also contribute to the education and mentorship of students and researchers at various levels. Where to apply Website https://www.academictransfer.com/en/jobs/358773
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; support multi‑omics data integration and analysis across multiple research groups; and collaborate on the development and maintenance of computational pipelines for spatially resolved transcriptomics and
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mentor and supervise trainees as part of a productive and innovative research team. Work schedule: 100% FTE Monday – Friday Day shift What you’ll contribute: Research Design, Execution, & Analysis Design
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the supervision of Alex Huk, Ph.D. Specifically, the incumbent will be researching cortical mechanisms of spatial vision. The appointee will be responsible for supervising and mentoring trainees, contributing
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variety of case studies also allows studying diverging trends, e.g. paying attention to both population growth and decline. The analysis will build upon recent detailed spatially explicit data developed by
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bright points to solar jets, called spicules. The study will involve mathematical modelling complemented with observational data analysis using high spatial, temporal and spectral resolution solar
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professional support in areas of moderate to advanced complexity, including spatial analysis, modeling, and geospatial systems research, to help evaluate business objectives, define user requirements, and