455 development-"https:" "https:" "https:" "https:" "https:" "https:" "IDAEA CSIC" PhD positions in Netherlands
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Description Do you want to contribute to ethnographic research into the politics of valuing seaweed in Scotland? The Leiden University's Institute of Cultural Anthropology and Development Sociology, based
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for the development of talent. Want to apply or find out more? If you want to apply straight away, click the application … Where to apply Website https://www.academictransfer.com/en/jobs/364547/phd-position-pfas-free
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consortium. Your academic supervision will be provided by Prof. Timo De Groof and Prof. Nick Devoogdt. This doctoral project focuses on developing GPRC5B-targeting nanobodies for use as research tools
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, through this PhD project, you will develop a risk profiling and resilience advisory system for 6G networks. This system will continuously compute a comprehensive risk profile for network infrastructure and
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governmental, regulatory, academic and industry stakeholders contribute to academic publications, policy outputs, conferences, workshops and the development of principles for responsible and explainable AI
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highly collaborative and friendly atmosphere, we will give you all the support you need to develop and grow. Moreover, as a valued member of the FNS consortium, you can collaborate with various partners in
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. The broader HTRICxUEF consortium provides additional expertise in the use of high-energy radiation, nanomedical drug release, and other types of medical imaging. Where to apply Website https
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realize a fully functional and scalable quantum network, we are developing highly coherent single photon emitters using erbium ions operating in the telecom C-band and directly embedded in a solid state
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for 1.0 fte (38 h/week). You will have ample opportunities for further development of knowledge and technical and personal skills through courses at the Academy and (inter)national conferences. Where
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algorithms. One particular challenge for the candidate applying for this position, is to develop novel measures of structural (in)equivalence in social networks for obtaining an interpretable understanding