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Training in skeletal biology Experience in study of long-non coding RNA Experience in quantitative confocal microscopy Other The position is a fixed-term position as a clinical assistant at 100
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materials that underpin device operation (see https://doi.org/10.1016/j.joule.2023.03.002 for a recent example of this approach from the group). This project will be carried out in collaboration with the
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- and coding-theoretic methods for analysing and improving the resilience and efficiency of federated machine learning methods in settings where communication bandwidth is limited and nodes are
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resources engineering, civil engineering, or equivalent. Specific knowledge of urban water system including the pipe network, Python coding and modelling and life cycle assessments, as well as economics
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statistical analysis and coding in R or similar programming environment A willingness to take leadership roles and manage global collaborations through the Thermal Ecology Alliance An ability to receive and
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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open
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part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest biotechnology in Northern Sweden. Our mission is to perform
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Science and Technology, Campus Norrköping Research area The Laboratory of Organic Electronics (LOE, https://www.liu.se/loe ) at Linköping University is a world-leading research environment in organic
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Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest biotechnology in Northern Sweden. Our mission is to perform excellent and innovative
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Department of Molecular Sciences at the Swedish University of Agricultural Sciences (SLU) in Uppsala, Sweden. For more information about the department, please visit our website: https://www.slu.se