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. Candidates should be able to independently conduct statistical analyses in R, be able and willing to conduct fieldwork in the Swiss Alps, and have knowledge in plant species identification. Prior experience
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, or similar Proficient knowledge of and previous experience with R and Python, survey design, experimental design, field experiments and quasi - experiments are an added value Strong interest to work in
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or soon to be finished Background in protein design, computational biology or related field Working knowledge in at least one relevant coding language (Python, R, or C++) Excellent communication skills and
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should have experience and knowledge in plant species identification. The successful candidate should be able to independently conduct statistical analyses in R and hold a valid driver's license
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analytical and quantitative skills, including proficiency in statistical software (e.g., Python, R). Demonstrated interest in climate change, sustainable finance, and corporate sustainability. Strong written
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community. We develop and commercialize simulation tools, as well as measurement equipment for all-in-one electro-optical device characterization and for device stability assessment. Our R&D tools are used
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bring strong programming skills with languages like Fortran, C, R or Python. Prior experience in the field of process-based modeling, e.g., climate modeling, is an asset. For both projects, fluent
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. Your profile Master’s degree in analytical chemistry, environmental science or related fields Hands-on experience with mass spectrometry (LC-MS or GC-MS) Experience with programming (Python or R) is a
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knowledge in plant species identification. The successful candidate should be able to independently conduct statistical analyses in R and hold a valid driver's license. Experience in GIS and handling large
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programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should