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species and vegetation ecology), advanced statistical modelling using R software, and conducting fieldwork under harsh environmental conditions. A successful applicant should have good skills in English and
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knowledge about natural resource management Knowledge of software R Strong skills and/or interest in mathematical and statistical modelling is a strength Ability to conduct field work in remote alpine areas
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Experience in microalgae cultivation, bioreactor technology, genomics and microscopy are an advantage Commitment to laboratory work, high quality writing and scientific excellence at the highest level Work
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for an interview, trial lecture or other presentations. The Faculty reserve the right not to hire applicants who may be scientifically qualified but who do not meet other criteria such as language, educational
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committee. Relevant applicants will be invited for an interview, trial lecture or other presentations. The Faculty reserve the right not to hire applicants who may be scientifically qualified but who do not
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invited for an interview, trial lecture or other presentations. The Faculty reserve the right not to hire applicants who may be scientifically qualified but who do not meet other criteria such as language
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computational skills (using R, modelling software, working on a remote linux-based server) and experience in analyzing Next Generation Sequencing data, including PCA, outlier analysis, GO-term enrichment analysis
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connections to high-risk countries. Application process Applicants will be evaluated by an internal expert committee. Relevant applicants will be invited for an interview, trial lecture or other presentations
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invited for an interview, trial lecture or other presentations. The Faculty reserve the right not to hire applicants who may be scientifically qualified but who do not meet other criteria such as language
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will be evaluated by an internal expert committee. Relevant applicants will be invited for an interview, trial lecture or other presentations. The Faculty reserve the right not to hire applicants who may