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Leinweber Institute for Theoretical Physics (LITP). Potential research topics include: inflationary cosmology and its connection to late-time observables; large-scale structure theory and analysis; cosmic
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Computing Applied Physics Quantum Optics Quantum Condensed Matter Theory Quantum Information Science Appl Deadline: 2025/11/01 11:59PM Description: Apply Description The Stanford-SLAC Quantum Initiative, Q
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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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/Python coding, next-generation sequencing data interpretation, large-scale data integration, and machine learning. Science: strengthen the ability to formulate hypotheses, design aims to test the
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variety of simulation and optimization techniques. Key areas of interest may include control theory, robust optimization, or distributed optimization. 2. The second candidate will focus on applied research
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cell fate decisions, particularly during early neural development or during the epithelial-to-mesenchymal transition (EMT) in cancer. Our recent work reveals that coding sequences (CDS) and their cognate
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-quality data collection and processing, with opportunities to explore scientific questions at the interface of neuroscience and AI in collaboration with theory and modeling teams. What We Offer A
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sensor integration. Strong coding and debugging skills. Excellent communication, documentation capabilities and a demonstrated track record of publication. An enthusiasm for developing new measurements
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accomplishments, (b) Your broader research interests, and (c) why you are interested in working with us A sample of data analysis code (published or unpublished) A representative writing sample (published
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with electronic health record (EHR) and/or clinical data. Proficiency in Python, with strong coding and debugging skills. Experience with deep learning frameworks such as PyTorch, JAX, TensorFlow