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applications such as ferroelectric memory, photonic integrated circuits and next-generation telecommunications. You'll work at the exciting intersection of experimental materials science and materials
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documentation of experimental results Preparation and publication of scientific articles in peer-reviewed journals Presentation of research results at international conferences and scientific meetings Your
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methodological background in machine learning. The ideal candidate has demonstrated research experience with foundation models, including the evaluation and adaptation of pre-trained models, fine-tuning strategies
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measurements, or pollutant modelling; A strong aptitude for experimental and/or computational research; Experience with quantitative data analysis and proficiency in one or more programming or scientific
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activities of the group The position is ideal for someone who wants to strengthen their CV with additional projects and gain leadership experience in preparation for a top faculty or industry position We aim
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, air pollution, exposure science, environmental measurements, or pollutant modelling; A strong aptitude for experimental and/or computational research; Experience with quantitative data analysis and
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field Background in programming languages, formal methods, or networking Research experience in one or more of: language design and semantics, automata theory and decision procedures, interactive
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cell biology and next generation sequencing. Experience in droplet-microfluidics, including use of commercial devices such as the 10X Genomics platform is beneficial, but not absolutely crucial. For two
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Laboratory (https://pietrodeanna.org ) at the University of Lausanne, led by Prof. Pietro de Anna, where the experimental work will be carried out, and with the Theoretical Chemistry group at ETH Zurich (https
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, cell biology and gas-exchange physiology. Within the research unit “Cereal Stem Cell Systems - RU52350; https://cerealstemcells.de ”, we are recruiting a Postdoc to investigate how grass leaves spatially