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Ph.D. with demonstrated R&D experience. Development experience with bash scripting and Python, and/or embedded development (C/C++/etc). Knowledge on cellular systems, 3GPP, open RAN. Knowledge of Linux
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 14 days ago
API development (Python or C# is an advantage), · practical knowledge of relational databases, SQL and ORM frameworks, · version control (Git) and software artifacts handling in containerised
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
) (graphs/figures, tables, etc…); processing, analysis, and display. Experience in engineering and graph database work. Experience programming in Python and deploy Jupyter notebooks. Experience working
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Maintain detailed records of results and prepares written reports acceptable to the Principal Investigator and funding agencies Other duties as assigned Unit URL https://uiexperimentalforest.org/ Position
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willing to receive assistance and coaching when needed from the faculty lead. Prior experience in a diverse higher education institution preferred. Knowledge of Python and/or R programming languages is
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is full time, fixed term for a period of 2 years For informal enquiries contact: Professor Fiona Oakley (fiona.oakley@newcastle.ac.uk ) Find out more about the Faculty of Medical Sciences here: https
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. Strong programming skills in languages like Python or R. Professional experience in the application of Machine Learning algorithms in the mapping and correction of spatial data. Professional experience in
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collaboration with LuMIn at ENS Paris Saclay, as part of an ANR contract, with a consortium of six partners. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8214-ALEFRA-001/Candidater.aspx
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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