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analyze how these factors influence vote choice, and how the role of quality in elections can be strengthened. Empirically, the project combines surveys, survey experiments, and text-as-data methods.
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have since helped halve global mortality, but this progress is threatened by rising insecticide resistance. We build quantitative, data-driven models to forecast the spread and impact of resistance
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interdisciplinary team including computer scientists, experimentalists and clinicians. ■ You will be involved in cross-disciplinary collaborations and have training opportunities to further develop and grow your
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Computing, University of Basel), and 14 clinical partners across Switzerland. The project aims to advance the Family Gene Toolkit (FGT) v2.0, a digital platform that offers reliable information and prepares
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, the candidate should be committed to: doing field work, wet-lab work, learning about bioinformatics, including R and shell programing, and analyzing data using population genetics tools and theories
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of Basel is an equal opportunity employer committed to excellence through diversity and encourages all qualified applications irrespective of gender, race, or physical disabilities. For more information
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position (technician) will focus on performing Raman/FTIR on retrieved samples. The PhD position will focus on developing a deep-learning algorithm for analyzing the acquired experimental data.
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to think critically and a strong aptitude for interpreting/analyzing complex data. We are looking for someone with excellent organizational skills, creative, highly motivated, and fluent in English with
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Analyze and interpret data Develop scientific writing skills and author manuscripts Your profile We are looking for a candidate with a strong passion for science, genuine curiosity, scientific rigour and
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observations, experiments, and macroecological analyses using so far untapped global monitoring data across all populated continents.