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ongoing and planned experiments. This position is on-site. Projects include: · Establishment of a human stem-cell derived endometrial organoid model for use in co-culture to study pre-eclampsia and related
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chemoproteomics, chemical biology, and related areas. The interested candidate will work directly with experimental scientists within a wet lab setting to facilitate the management, analysis, and visualization
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presentation of findings. Depending on prior experience, additional duties may include mentoring students or contributing to broader team efforts. This is a one-year position with the possibility of extension
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mentoring, if needed. Minimum Qualifications The candidate should have a Ph.D. in Engineering, Applied Mathematics, Computer Science, or a related area. Experience 0+ years of postgraduate experience. Skills
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Description: Apply Position Description Assisting in collecting and processing data generated from targeted scientific and engineering experiments using edge AI technologies. They will also conduct data
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and revision Educational Requirements: Work requires a PhD (bio)statistics, econometrics, data science, or related field. Experience/Skills Required: A background in commonly used programming
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of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals
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simulations and multiscale spatial-omics data. • Integrate uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments
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success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential
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decoding in real-world and virtual reality environments. Key Responsibilities: · Design and implement experiments studying memory and navigation, integrating intracranial recordings, wearable sensor data