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Field
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vulnerability analysis of electronic systems and communication protocols used in in-vehicle networks with centralized zonal topologies, in accordance with the ISO/SAE 21434 standard; Experience with
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, mobile working and attractive social benefits Family-friendly infrastructure and support from a family service The position is to be filled within the Marie Skłodowska-Curie Doctoral network METAMIC 3
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for measurement automation and data analysis Machine learning or Artificial Intelligence methods You enjoy hands-on experimental work, have strong analytical skills and are motivated to develop innovative sensing
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on: World economy Macroeconomics Economic modelling and analyses Macro-financial analysis Our in-house research capacity and international network activities allow our researchers to participate in
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Research Network. Support open and ethical research practices (data management, ethics, dissemination) Teach classes within the political science department (10% of the contract time) What do you have to
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data sources (e.g., registry data, surveys, and organisations). Your competencies Digital methods such as machine learning based classification, computational text analysis, network analysis, web
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grounded insights into the aesthetic, lived, and institutional realities of contemporary world literature and its agents. Combining textual analysis with sociological and ethnographic methods, EMLIT aims
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of flexible hydropower operation on potential internal erosion processes in embankment dams. The research will involve experimental investigations, data analysis, and possible field work, in collaboration with
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organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in
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-neutral industries, with a particular focus on the interaction between AI data centers, direct air carbon capture (DAC), district heating networks, and other industrial processes that can effectively