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directly engage in course (re)development with faculty, as well as with Stanford’s Center for Teaching and Learning, preparing them for further opportunities as an educator in Bioengineering and related
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our team. We are looking for postdoc candidates to develop and apply cutting-edge technologies in spatial transcriptomics, single-cell sequencing, machine learning, and functional genomics
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, minimal residual disease (MRD) detection, and the multi-omic characterization of various cancer types. Required Qualifications: PhD in related fields such as computational biology, cancer biology, and
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics, biomedical data science, biomedical engineering, computer science, electrical engineering, statistics
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Qualifications: Applicants must have received a PhD from an accredited university in German Language and Literature, History, Religious Studies, Philosophy, or a related field before the appointment start date A
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. Responsibilities: As a member of the lab team, you will bring your knowledge to the group and learn protocols / standard operating procedures, conduct experiments, analyze data, assess literature, and prepare
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chromatin structured contexts. Ideal for those with experience in cell culture, molecular biology, and seeking to acquire or strengthen expertise in gene editing methodologies, bioinformatics, and DNA DSB