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the development of novel mathematical and computational approaches for advanced relational data analysis. Where to apply Website https://pica.cineca.it/unimc/20-br-071/ Requirements Research FieldTechnology
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skills in Python and experience with visualization data software considered an additional asset 2. Employment Conditions: • Recruitment for Assistant positions within project no. FENG.01.01-IP.01
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and modelers to use the optical constants in the analysis of observational data from, e.g., Hubble, Spitzer, JWST. Candidates are expected to be proficient doing data reduction and analysis using Python
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administration tools (Developer, Object Manager, Command Manager, Workstation); Proficiency in Linux/Unix environments, including shell scripting and Python; and Knowledge of and experience working with higher
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validation activities, including basic descriptive analyses using programming languages such as SAS or Python, as appropriate Monitor study status and provide status reports to the team Write and review data
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. SDR Expertise: Strong hands-on experience with SDRs (USRP, RFSoC, or equivalent). FPGA programming experience is a plus. Programming Skills: Strong experience with MATLAB and/or Python; experience with
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Basilicata region. Where to apply Website http://www.unibas.it Requirements Additional Information Eligibility criteria Admission requirements: - PhD or equivalent degree obtained abroad; - Scientific and
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-performance computing, and Python-based data analysis. Equivalent combination of education/experience. Equivalent education and/or experience may substitute for minimum qualifications except when
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software such ANSYS, COMSOL, ACE3P. Experience with the design, fabrication, and/or commissioning of high-power (kW to MW-level) RF cavities. Familiarity with coding languages like C++, Python, Julia
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tools such as R, Python, GIS software, and photogrammetry platforms to generate reliable plot-level phenotypic datasets suitable for plant breeding analysis. 15% – Training, Documentation, and