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: Strong programming skills in R for data analysis and visualization, and proficient in Unix command line environments for data processing Single-cell omics Methods to study chromatin interactions such as Hi
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resolve these questions, due to their proven ability to show plasticity in many traits. About you You have a PhD degree. You have experience with bioinformatic analysis, behavioral and/or experimental
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, cleanroom fabrication, performing cryogenic microwave measurements, and data analysis. You are expected to participate in advising and mentoring PhD students. Your experience and ambitions
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terrestrial gravimetry (measurements, processing, modelling) is an advantage - Understanding of geodetic data analysis and geophysical processes is an asset - Basis understanding of quantum physics is a plus
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), including both laboratory methods and data analysis pipelines, will be considered an asset. Knowledge in bioinformatics/data analysis, and ability to handle complex datasets, will be considered an asset
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decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic resistance and microbiomes, statistical analysis
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. Expertise in single-cell RNA sequencing (scRNA-seq), including both laboratory methods and data analysis pipelines, will be considered an asset. Knowledge in bioinformatics/data analysis, and ability
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behavioral and neurophysiological data, coordination of the studies at different stages, data analysis, and reporting the research findings. You will be part of a multidisciplinary research group supporting
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in one of the following: computational social science, ubiquitous computing, data science, or human-computer interaction. Programming skills needed to do data analysis (we mainly use Python) You can be
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coordinated analysis of long-term ecological data to understand the drivers and consequences of global change on biodiversity. To unravel how populations, interactions between species in natural communities and