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Science, physics, mathematics, engineering or a related discipline Strong Python skills Experience with modern deep-learning architectures The ability to properly report, organize and publish research data
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and/or Python Ability to work in a challenging and international environment COMPENSATION PACKAGE A yearly gross salary up to 35.000 EUR Private health care coverage depending on your role and contract
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(e.g., FDTD, FEM, RCWA) Experience with data analysis tools such as Python or MATLAB Experience with 2D materials, polaritonic systems, or anisotropic optical media Experience with near-field optical
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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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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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– 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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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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(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
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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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-theoretic models is a plus; Proficiency in programming (e.g., Python, Matlab, C++); Strong interest in fundamental research on autonomous systems and decision-making. No prior knowledge of contextual radio