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and cell differentiation. We develop technologies to generate statistical data sets that make these problems tractable, as well as computational tools and laws governing biological system behavior. We
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. in areas such as systems biology, stem cell/developmental biology, biophysics, computational genomics, microfluidics, or related fields. Contact Information: SB Hiring Team 200 Longwood Avenue Armenise
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experience with organoid culture, analysis of aneuploidy, computational skills in analysis of scRNAseq and scATACseq datasets, and/or CRISPR genetic screens. The successful candidate will work with single cell
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volatile organic compound (VOC) exposure across diverse real-world indoor environments. This role offers the opportunity to conduct mobile sensor measurements, analyze air quality data, and generate insights
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multidisciplinary team to lead a field-based study characterizing volatile organic compound (VOC) exposure across diverse real-world indoor environments. This role offers the opportunity to conduct mobile sensor
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experimental and computational expertise in single‑cell imaging are especially encouraged to apply. Contact Information: SB Hiring Team 200 Longwood Avenue Armenise Building 623 Boston MA, 02115 Contact Email
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(e.g., organotypic slice cultures, intravital imaging, and/or ex vivo tissue imaging) Candidates with both experimental and computational expertise in single‑cell imaging are especially encouraged
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. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
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Details Title Postdoctoral Fellow School Faculty of Arts and Sciences Department/Area Stem Cell and Regenerative Biology Position Description The Arlotta Lab invites applications for a Postdoctoral
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Qualifications: Ph.D. in Molecular Biology, Genetics, Cell Biology, or a closely related field, with a strong emphasis on cancer research. Demonstrated expertise in molecular biology techniques and omics