502 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Fraunhofer Gesellschaft" positions in Belgium
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who self-identify as belonging to vulnerable or minority groups are strongly encouraged to apply. Additional information For more information about the project, please click here . For more information
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statistics. You will also collect data independently, conduct surveys and organise workshops with companies, policymakers and academics, under the supervision of two academic promoters. In addition, you will
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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? Motivated candidates are asked to apply online. Additional requirements: Please upload your full CV Please upload a motivation letter Please add the contact details of at least two references More information
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at the relevant university (taking account of seniority), with a maximum of €60,000 per year. More information www.fwo.be Official & binding documents: regulations in Dutch on the FWO website. Contact
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on your appointment. Start of fellowship: 1 September or 1 October. Funding Net scholarship amount: identical to the last net salary of the main activity. More information www.fwo.be Official & binding
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-associated research lab Centre for Microsystems Technology (CMST) (Department of Electronics and Information Systems) and (b) Electrochemistry and Surface Analysis (ESA) (Department of Chemistry) at Ghent
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who self-identify as belonging to vulnerable or minority groups are strongly encouraged to apply. Additional information For more information about the project, please click here . For more information
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the sustainability and reliability of drivetrain systems by combining advanced simulation techniques with data-driven models. The project involves close collaboration with experimental facilities as well as simulation