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. The fellow will also manage the editorial process for external submissions. Support and Development of Open Access Digital Resources The fellow will collaborate with software developers to maintain and enhance
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of Open Access Digital Resources The fellow will collaborate with software developers to maintain and enhance the Plant Humanities Lab , by supporting the development of new resources such as an open access
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particle physics. Experience with state-of-the-art detector systems and with the analysis software of a particle physics experiment are required. The successful applicant is expected to be stationed at CERN
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, collection management software, and electronic library resources. Experience with digital photography or digitization of photographs, slides, negatives, and other media, including photo editing software
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, or comparable environment. Strong computer skills, including experience using relational databases, collection management software, and electronic library resources. Experience with digital photography
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, working alongside postdocs, research staff, and students, as well as with collaborators and established software development teams. Our interdisciplinary lab represents a convergence of microbial ecology
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, building software, and potentially collaborating on applied health sciences projects. Basic Qualifications Candidates should have a doctoral degree in biostatistics, statistics, or a related field. Strong
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: Experience with developing efficient numerical algorithms and modifying electronic structure DFT or quantum chemistry software (e.g. Quantum Espresso, PySCF, GPAW), fluency with electronic structure theory and
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scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and MPlus. Acquires Specialized Training. Attends trainings and skill development
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addition to carrying out bench research using electrophysiological recording, the successful candidate will be expected to help develop data management software for managing and analyzing large volumes