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Field
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the following software: Stata, R, Python, ArcGIS, and related software Strong, and relevant publication records will be advantageous Excellent verbal and written English; knowledge of Asian languages will be
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analytical chemistry, particularly GC-MS analysis of trace volatiles Good communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is
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., confocal and light sheet) and/or programmatic bioimage analysis (ideally Python) and/or bioinformatics is required Candidates should be able to demonstrate excellent communication and presentation skills
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experience Strong manuscript writing skills and evidence of contribution to peer-reviewed publications Proficiency in R, Python or other relevant statistical/computational platforms Strong analytical and
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-reviewed publications in high-quality journals. • Proficiency in programming and modelling tools (e.g., R, Python, C/C++, Julia). • Excellent quantitative and analytical skills, with experience handling
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recordings with silicon probes or Neuropixel probes is highly advantageous. For NeuroAI focus: Strong programming skills in Python and Matlab. For NeuroAI focus: Familiarity with analyzing large-scale neural
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, viability, cytokine readouts), and imaging/flow cytometry. Maintain rigorous records, QC, and SOP adherence for human biospecimens. Analyze/interpret data with basic scripting skills (R/Python) and
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PhD Expert knowledge of statistical modelling, statistical inference and use of relevant software (e.g. R/Python) both for data processing, visualisation and programming. Excellent communication 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
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Strong research background in statistical learning problems -- especially from a theoretical perspective -- as evidenced by publications Knowledge of MATLAB/R/Python Good written and oral