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Field
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transport measurements Familiarity with the theory of magnetism Proficiency in MATLAB/Python and LabVIEW for data acquisition and analysis Good written and oral communication skills Ability to work
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, XPS/AFM, electrical probing; DoE/statistics (Python/Matlab a plus). Strong documentation, safety discipline, and clear communication in English - essential for data analysis and communication with
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in at least one programming language (C/C++, Python, Java). Strong mentorship and communication skills for guiding students. Excellent interpersonal skills for effective collaboration with
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for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect mapping in complex disease. Strong method/tool dev experience required (Python/R, ML/stats
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programming expertise in at least one of the C++, C# and Python languages. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background
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China, in the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred
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and maintain Python and R codebase for transit routing and GIS operation automation. · Generate and write grant proposals with Dr. Liu on various topics. · Work with undergraduate and graduate students
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, or other high-dimensional omics datasets. Proficiency in R and/or Python, and familiarity with tools such as Seurat, Scanpy, DESeq2, edgeR, Monocle, or similar frameworks. Experience working with large-scale
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Epidemiology, or a related field. Strong experience in statistical modelling, machine learning/deep learning, genomics and multimodal biological, and biobank data analysis. Proficiency in R, Python, Perl, and
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Maxwell’s equations and scientific programming (e.g., Matlab, Python, C++) Competent in teamwork and presenting results in informative visuals Interpersonal skill: Ability to work under pressure, Ability to