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: • Animal handling experience. • Intellectual curiosity and a growth mindset. • Biostatistics and bioinformatics expertise for scRNA-seq analysis. • Experience with molecular, cellular, biochemical, and
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the liberal arts, medicine, business and law, Pratt prepares future engineering leaders to address complex challenges with solutions that take into account the complexities and nuances of implementing them
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, Molecular Biology, or a related field Preferred Qualifications: Expertise in experimental design and quantitative data analysis Strong written and verbal communication skills, attention to detail, and ability
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interdisciplinary research addressing climate, environment, and/or sustainability challenges. PREFERRED: - Strong quantitative skills in applied economic or financial analysis, including experience with causal
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oral communication skills, including the ability to convey complex ideas to scientists, practitioners, and policymakers. o Teaching experience at the university level (e.g. course design, lectures
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candidate will also develop and implement computational methods to interpret complex data and contribute to the preparation of grant proposals, progress reports, and peer-reviewed publications. In
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applications from scholars no more than two years out from the receipt of the Ph.D. whose research is rooted in historical analysis, who engage with questions about social equity in both research and teaching
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with large survey data (e.g., LSST, DES, HSC, Euclid, Roman) ● Knowledge of image simulation frameworks and pixel-level analysis techniques ● Prior involvement in LSST DESC, Roman PITs, or similar large
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collaborating on the development of research protocols, data collection and analysis, budget and supply management, manuscript and grant preparation, IRB and/or IACUC submissions, and the supervision of students
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Analysis and Presentation/Writing/Publication (20%) - Recording and annotating datasets - Interpreting results to draw conclusions and design subsequent experiments - Presenting results in lab meetings