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signal processing, imaging, inversion, or source characterization, is highly desirable. Proficiency in Python, C++, or Julia, with strong numerical modeling, data analysis, and reproducible code
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post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective
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), analytics (SEC-MALS/A4F) as well as spectroscopy (NMR/fluorescence/UV/vis) – all supported by quantitative data analysis. The PhD candidate will contribute to bridging research activities across groups based
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for research and data analysis purposes (e.g. Python or similar languages), experience with eye-tracking or physiological sensing methods, as well as strong numerical and analytical skills. Competent in general
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TheClimate and Ecosystem Sciences Division at Berkeley Lab seeks a Pantropical Vegetation Dynamics Postdoctoral Fellow to combine observational synthesis, ecological theory, and numerical models
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and perform numerical simulations To be successful at Level B please address the selection criteria A PhD or equivalent in data science, social network analysis, mathematical modelling, statistics
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well as gain or currently have proficiency in data analysis techniques including analysis of sequencing data. The candidate is expected to work independently on a daily basis, with regularly scheduled meetings
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8:00am to 5:00pm Job Summary: The Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under
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), data analysis, and numerical/analytical skills. Competent in project management. Ability to work independently and collaboratively in an interdisciplinary team. Entry-level candidates are welcome
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characterization (XPS, SEM/TEM, XRD), data analysis, and numerical/analytical skills. Competent in project management. Ability to work independently and collaboratively in an interdisciplinary team. Entry-level