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, and gravitational-wave observations. Ideal applicants should have a strong experience in cosmological MHD simulations (preferentially with Eulerian codes), in the study of Faraday Rotation and other
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interdisciplinary scientific experience. Our approach integrates cutting-edge tools and technology, empowering researchers to push the limits of knowledge and innovation. With us, your curiosity will know no bounds
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of observations. As for applications in physics, DSIP is developing Deep Learning solutions for data analysis in high-energy physics experiments and in space physics. FBK actively seeks diversity and inclusion in
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experience. Our approach integrates cutting-edge tools and technology, empowering researchers to push the limits of knowledge and innovation. With us, your curiosity will know no bounds. We are dedicated
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transition” Research unit is coordinated by Dr. Angelica Chiodoni (https://adv-char.iit.it/ ), who has extensive experience in materials characterization, technologies for energy transition and advanced
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-state fMRI data. The candidate should possess interdisciplinary expertise, with a solid background in cognitive, computational, and social neuroscience. Prior research experience and a proven scientific
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includes a substantial component of traditional scientific computing, as required by the everyday operation of the facility. Where to apply Website https://www.elettra.eu/about/careers.html?id=4285
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the building, as are key core facilities including deep sequencing, flow cytometry cell sorting and hematopathology. The candidate should have a PhD or equivalent research experience. He/she should be
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from other institutions as well a up to 200 short/long-term visitors per year. Further information can be found at https://www.ictp.it/hecap/people There is also a close collaborations between ICTP
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background in bioinformatics and previous experience with next-generation sequencing (NGS), ideally in cancer genetics. In particular, familiarity with the analysis of whole-exome/whole-genome sequencing data