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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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models. The scientist will conduct research using machine learning and classical parameterization methods on data from ocean gliders equipped with microstructure turbulence sensors, turbulence resolving
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a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens
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application which projects and principal investigators provide the best match with your background and interest. For more detailed information on the program and the application procedure please refer to www.2d
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and implantable sensors o Microfluidic-based electrochemical platforms o Data-driven sensor signal processing Fluent English proficiency (B2/C1 level or higher). Strong analytical, problem-solving
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Employment Doctoral studies at SLU with 80% study activity & 20% work with an industry partner for 5 years Permanent employment with an industry-/collaboration partner You can find more information about open
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) Atomistic classical simulations of macromolecules (v) Biophysics. You can write computer codes to solve some of the daily research problems and have experience with high performance computing. You should have
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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sequencing data is an advantage. We offer: A three-year PhD position (or four-year for Master students) in a supportive, stimulating, and interdisciplinary research environment Enrollment in PhD school
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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