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, and rock core analysis are desirable. Additional Qualifications Special Instructions Upload CV including a list of publications and research experience. May include separate cover letter. Note that 3
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appointment). Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis. Proficiency in R or Python; experience with deep learning, causal inference
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, and morphological analysis techniques to explore how venom has evolved in marine mollusks. Your work will span from the field to the lab, including: Sample collection from diverse, extant marine species
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Health, is responsible for the design, monitoring and statistical analysis of clinical trials and observational studies for several major national and international NIH-funded clinical research networks
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Smithsonian Astrophysical Observatory (SAO). We welcome applicants, who as a component of their research statement, discuss their experience in mentoring, outreach, and teaching. Current senior members
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electrophysiological data analysis, while contributing to impactful translational research. Key Responsibilities Support the design and execution of a clinical trial focused on muscle-driven robotic technologies. Assist
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, and morphological analysis techniques to explore how venom has evolved in marine mollusks. Your work will span from the field to the lab, including: Sample collection from diverse, extant marine species
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experiments, large-scale data analysis, and computational methods to advance our understanding of innovation and digital transformation. Candidate Profiles: We seek candidates with strong quantitative and
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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-dimensional data analysis. Proficiency in R or Python; experience with deep learning, causal inference, or genetic data analysis is not required but encouraged. Excellent written and verbal communication skills