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their arrays; (v) analyzing the data, publishing high-impact results and presenting them at conferences, and (vi) collaborating extensively with other leading research groups at SHARPS, elsewhere in China
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training more data-efficient and to speed up candidate selection. Main Tasks and responsibilities: Core duty 1: The person shall deploy and interconnect an active learning framework into our simulation
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interfacing, thin-film technology and nanofabrication, growth and characterization techniques and neural data analysis. The research assistant will specialize in multiple facets of neural interfaces development
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replication: use fully converged simulations as references; design experiments to measure convergence speed, accuracy, robustness, and cost vs. baseline workflows. Agent & data pipeline engineering: build
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, sparsity, and symmetry. Data pipeline: Curate datasets from DFT calculations (and, where relevant, Wannier/TB extractions); implement preprocessing, splits, and rigorous validation. Metrics and validation
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/ Nice to have You have experience with advanced bioinformatic tools (e.g. Python/R, omics data analysis) Education and training A Ph.D. in a relevant field of study and/or candidates with no more than one
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., evolutionary algorithms/strategies, mixed-integer search, multi-objective methods). Strong Python and scientific-computing skills (data handling, experiment tracking, testing, version control). Practical
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of materials and devices following the recently upgraded ISOS protocols and in-situ characterization. Process and analysis of data. Elaboration of periodic reports to keep track of the progress of the project
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Rare Diseases. This faculty opening will be valid for an extensive period of time. For more information about SMART&PI, please visit our official website：https://smart.org.cn/. Qualifications A PhD