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The postdoctoral researcher will be responsible for designing and implementing a practice-oriented monitoring system, as well as collecting and analysing qualitative data within the EvaCQ project
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SD-25157 RESEARCHER IN ATMOSPHERIC PLASMA TREATMENT OF METALLIC SURFACES FOR INDUSTRIAL APPLICATIONS
Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography
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) indicating reference to the subject areas mentioned above Contact information of at least two referees Early application is highly encouraged, as the applications will be processed upon reception. To ensure
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diseases. We exploit genomic and post-genomic data to fill gaps in metabolic networks, discover new enzyme functions, and elucidate their role in disease. For more information, please visit our website
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of recent research and projects Sketch of planned research and publication activities (2 pages each) Contact information of at least two referees Early application is highly encouraged, as the applications
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and career progression of our staff. General Information Contract Type: Fixed Term Contract 12 Months Work Hours: Full Time 40.0 Hours per Week Location: Kirchberg Campus Internal Title: Postdoctoral
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data storage capacity to accelerate research in intensive computing and large-scale data analytics, commonly referred to as Big Data. This characteristic distinguishes the HPC center at the university
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data storage capacity to accelerate research in intensive computing and large-scale data analytics, commonly referred to as Big Data. This characteristic distinguishes the HPC center at the university