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major event finances. You will also be responsible for developing and implementing financial strategies that align with the Department’s strategic goals and academic mission. This post is full time and
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focusing on alignment of MMFM with ethical, legal, and social values. Specifically, the postholder will lead work to: (1) develop bias and fairness methods for domain-specific MMFM to identify and mitigate
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, including murine in vivo models, as well as in vitro studies using primary in-vivo and patient samples. You will apply flow cytometry to monitor immune responses and utilize next-generation sequencing
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of progression to sAML. You will contribute to the study and sequencing design, collaborate with experimental biologists to validate the hypotheses, and advise and supervise computational staff and students. You
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developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms
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in the discipline to work within established research programs. Highly independent and detail-oriented, with strong technical skills, high-quality sample processing, and the ability to manage multiple
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transwell culture systems, preparing samples for mass-spectrometry and RNA sequencing. Previous experience with complex in vitro culture systems, such as microfluidic chambers, is essential. It is also
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completion, of a relevant PhD and have experience analyzing high-throughput sequencing data. Excellent communication skills and the ability to present your work and contribute to publications is essential
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challenges in human genomics, applying them to large-scale genomic datasets encompassing millions of sequenced individuals and high-dimensional health-related data. The project will build on the group’s recent
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are looking for a candidate interested in developing their own research questions in alignment with the interests and skills present in the research team. We are particularly interested in investigating how