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Field
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offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal scales, from the genome to the continent, and sub-daily
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: Lead computational analysis and integration of single-cell RNA-seq and spatial transcriptomics datasets on endometrium. Develop reproducible, version-controlled pipelines and notebooks in R and/or Python
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Engineering at Harvard University seeks outstanding postdoctoral applicants with expertise in non-human primate immunology and virology or analysis of spatial omics data to join an interdisciplinary team
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Science (IQSS) Position Description The Center for Geographic Analysis (CGA) in the Institute for Quantitative Social Science (IQSS) at Harvard University seeks an outstanding spatial researcher as a CGA
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field measurements, data analysis, and model development, in collaboration with a broader interdisciplinary project team working on sediment dynamics, restoration monitoring, remote sensing, and blue
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bioinformatics research focused on cancer epigenomics, gene expression, single-cell and spatial omics, and metabolomic data analysis. Develop computational tools, apply AI and machine learning approaches
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to 3.5 years based on the performance and career plan of the hired person. Responsibilities • Assess landscape performance (visual, spatial, and functional) • Apply geospatial and image-based
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models. · Experience with bioinformatics, single-cell sequencing analysis, spatial biology, or computational data analysis is desirable but not required. · Proven scientific productivity
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. This role is part of the project: Decision-support-tools for Spatial Planning and Cumulative Effects Analysis (CEA) of OW in the Greater North Sea Basin (GNSB) , funded by the Velux Fonden . The project is
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publication fees. Qualifications D. or equivalent in computational biology, bioinformatics, or a related field. Experience with single-cell or spatial transcriptomics analysis. Expertise in genetics analysis