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at the finest scale to create impact on a global scale. For more information on the Lee laboratory: https://www.lsi.umich.edu/science/our-labs/t-lee-lab Job Summary The Tzumin Lee laboratory at the Life Sciences
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single-cell genomics and spatial transcriptomics to join the lab of Dr. Joan Camuñas. The lab of Dr. Joan Camuñas stands at the interface of genomics, biophysics and precision medicine. Our mission is to
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enable high-quality genomic research. The successful candidate will play an important role in delivering a high-quality genomics service provision within the Single Cell and Spatial Transcriptomic streams
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Responsibilities Quantitative method development and computational modeling (45%) -Develop, implement, evaluate, and advance computational approaches for estimating spatially and temporally resolved air-pollutant
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Full-Time Fixed-Term for 36 months This PhD aims to develop novel robotic monitoring and data processing methods to document changes in dynamic seafloor environments over large spatial scales
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models for bridging knowledge gaps, data scarcity and uncertainty gaps, and governance gaps related to monitoring the environment on which humans depend. A part of this is **spatial statistics of sensor
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 18 hours ago
Role Overview: We are seeking a highly motivated computational biology postdoctoral fellow to lead translational studies in single cell and spatial biology of gastric cancer immunology and evolution
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of single-cell genomics and spatial transcriptomics data with the aim to improve the understanding of the development and function of specific neural cell types and neural circuits. You will contribute
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repair. Our research integrates single-cell and spatial multi-omics, human developmental tissue, stem cell and organoid models, perturbation approaches, and in vivo models to uncover mechanisms controlling
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bioinformatics for a fixed term (CDD) Research Engineer (Ingénieur d’études) position within the team. Main Mission Mammary organoid culture and bioinformatic analysis of spatial transcriptomics data. Main