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or combustion processes. Knowledge of optical measurement techniques. Familiarity with fluid dynamic measurements or simulations. Contract terms This is a full-time, temporary position. The employment is limited
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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of light guidance in HCFs, and thermo- and fluid dynamics under fiber-drawing processes; experimental investigations of material properties of ultra-thin silica membranes (through e.g. transmission-electron
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will be part of a dynamic and inspiring working environment in the beautiful city of Gothenburg on the West coast of Sweden. About us The Department of Computer Science and Engineering is a fully
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build the sustainable companies and societies of the future. Our machine learning group is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual
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of the dynamics of macro and micropollutants in AD plants mainly refers to change of bulk properties. The proposed research aims to advance this science to knowledge of transformation processes at the molecular
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in