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Field
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at time of start) PhD in plant biology or related discipline Preferred qualifications 2 years experience in comparative genomics/transcriptomics 1 year experience at the command line (R/Python preferred) 2
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practices ● Fluency in programming languages such as R and Python. ● Demonstrated ability to make reproducible code for cleaning, integrating, and modeling spatial/temporal data from multiple sources, spatial
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omics (preferably related to neurodegeneration) studies is expected. Preferred Qualifications: Skilled in at least one programming language (R, Python or Perl) and experience working in Linux and/or high
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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, experimental, or computational techniques. Experience in applying for research funding. Skilled in analyzing and interpreting data (e.g., using MATLAB, R, Python). Ability to write papers and reports for peer
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, but not necessarily, to have been trained in vaccine R&D At least one first-author publication in a peer-reviewed journal Ability to work collaboratively in a dynamic and interdisciplinary research
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with experimental software (e.g. Presentation, PsychoPy, E-Prime, Gorilla). You have experience in data analysis, visualisations and programming in R and/or Python. You have experience with statistical
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(SCIPP) at the University of California, Santa Cruz invites applications for a postdoctoral scholar position in the Fast Sensors R&D group at SCIPP. As a leading academic facility for R&D in sensor and
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or soon after Advanced training in econometrics, empirical archival methods, and causal inference methods Strong programming skills in Stata, SAS, R, Python, or similar software Experience in teaching
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via GitHub repository) in statistical analysis and modelling using R or Python with open source code Experience with high performance computing environments, particularly Digital Alliance Canada