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. Knowledge of simulation tools for wireless communication systems; experience in MATLAB/Python (or similar). Mathematical skills for conceptualisation, modelling, optimisation, and analysis of problems
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, progression, and therapeutic response. This research is fundamental to advancing our knowledge of cancer and improving patient outcomes. See further information at the lab webpage: https://odin.mdacc.tmc.edu
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University This recruitment is also connected to the Wallenberg Initiative Materials Science for Sustainability (WISE, https://wise-materials.org ). WISE, funded by the Knut and Alice Wallenberg Foundation, is
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) and cloud technologies knowledge is a plus. Experience with Next-Gen firewalls and deep familiarity with IPS functionality, as well as python programing experience are also a plus. Certifications in TCP
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skills in Python, or other programming languages Independent and structured way of working Very good command of English Our Offer: We work on some of the most pressing challenges of the energy transition
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at: https://www.muoniverse.ch/ Who we are looking for Muoniverse positions often serve as bridges between individual research groups and institutions, supported through dedicated measures. We
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graduate student at the University of Michigan Available to attend lectures and lead lab sessions Demonstrated working knowledge of Python including programs of 100-500 lines of code. Have previously taken
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39133 Job Number SE179024 Position Information Department or Unit Name Fowler School
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 12 hours ago
Disseminate results through publications, conferences, and software tools Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09927 Requirements Skills/Qualifications Master in
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g