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cardiovascular focus. Proven expertise in RNA-Seq and integrative multi-omics analysis and interpretation. Proficiency in R, Python, or similar programming languages. Experience in using omics data to provide
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/Linux operating systems, with RAID and server systems; should have good scripting/programming skills (R, Python, Bash, Next-Flow, etc.); and should have a good command of English. The candidate should
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– Knowledge and experience in the application of Ion Beam Analysis techniques; – Knowledge about material analysis; – Experience in programming (i.e. Python, MATLAB, etc.). The following competencies
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optimization of nonlinear problems will be essential. The researcher must also be familiar with image manipulation and software development in Matlab or Python. The ability to collaborate both in academia and
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junior developers and researchers Stay current with the latest developments in Deep Learning frameworks for weather forecasting and climate science. Where to apply Website https://jobs.fbk.eu/Annunci
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, machine learning and computer vision techniques, statistical data analysis, and Python programming. Activities will include field calibration and validation of models and data integration into a decision
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, Italy), https://phd.unibo.it/etit/en Supervisors: Prof. Anna Guerra, Dr. Francesco Guidi Project Context: The selected candidate will join the ERC Starting Grant project “CUE GO – Contextual Radio Cues
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, visit: https://sites.google.com/view/tommaso-giovannini The ideal PhD candidate has: a solid background in theoretical/computational condensed-matter physics or chemistry (MSc in Physics, Chemistry
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related to development environments such as Python and PyTorch, as well as existing libraries for predictive maintenance. The research will also extend to digital vision systems that may be used to broaden
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(UNIBO, Italy), https://phd.unibo.it/etit/en Supervisors: Prof. Anna Guerra Project Context: The selected candidate will join the ERC Starting Grant project “CUE-GO – Contextual Radio Cues for Enhancing