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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis
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these skills. Competence in data processing, statistical analysis, and the development of ML models, or a clear willingness to gain such expertise. Experience with GIS-based spatial analysis, or a clear
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Scheduled Hours 40 Position Summary The Cremins lab works at the spatial biology-technology interface to understand chromatin-to-synapse communication during neural circuit activation in
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-affiliated hospitals. Responsibilities: Design and conduct studies using multiplex immunofluorescence, spatial transcriptional profiling, and other cutting-edge, high-dimensional tissue analysis approaches
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impact-based health early warning systems. The successful candidate will join the research team of Dr. Joan Ballester Claramunt (https://www.joanballester.eu/ ) at ISGlobal within the framework
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III will be responsible for specimen tracking, processing, organization and analysis. The Research Associate III will be expected to maintain detailed records of experiments and activities according
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
to cutting-edge problems in cancer genomics, transcriptomics, spatial transcriptomics, and large-scale bioinformatics. This role focuses on developing and applying AI and deep learning techniques for analyzing
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
analysis, based primarily on the evaluation of written documents, spatial data, interviews, and image sources. You have a doctorate in geography, environmental sciences, or similar disciplines and experience
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, preserving critical information about their spatial interaction. Advanced mass spectrometric analysis serves to detect and interpret cross-linked peptides, providing detailed insights into the specific domains
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts