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; familiarity with time series analysis and complex survey design and weighting is preferred. Experience in epidemiological data analysis of large datasets using R and/or STATA is highly preferred, competency in
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SPECIFICS Postdoctoral Scholar in Biostatistics: Novel Adaptive Clinical Trial Design Methodology The Department of Public Health Sciences, Division of Biostatistics and Bioinformatics, at Penn State College
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characterization of HPC and scientific AI applications or libraries on multi-tier HPC storage systems. Design and evaluation of approaches for time-sensitive or data-intensive processing of data originating
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for predictive modeling, high-dimensional optimization, uncertainty quantification, forward and inverse design, including the development of Digital Twin components, under the supervision of Prof. Douglas H
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) and systems to start in the Spring of 2025. The postdoc will work on topics related to sub-THz circuits, beamformer design, heterogenous integration, and antenna-in-package under the supervision of Prof
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Learning in Health and work closely with both laboratories; and will design and execute research studies, analyze experimental data, collaborate across the research teams, contribute to publications and
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), and biochemical and molecular approaches. The Postdoctoral Scholar will pursue specialized research training, education, and experience under the guidance of Dr. Neginskaya; plan, design, and execute
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. The successful candidate will contribute to cutting-edge research in the modeling, design, fabrication, characterization, and system integration of MEMS quartz resonators for next-generation precision micro
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immune-cell phenotyping a strong record of experimental research, ideally including a high-quality first-author publication the ability to design, execute, and interpret mechanistic experiments
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of agentic AI systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine physics-based modeling, machine