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inference and natural language processing. A central challenge when drawing causal conclusions from observational data is adjusting for confounding factors. In the social sciences, many of these factors
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systematically with several stakeholders and parallel activities. The following experience is particularly advantageous: Implementation research and use of established frameworks, particularly PRISM and/or RE-AIM
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application! We are now looking for 1–2 PhD students for the Division of Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit
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teaching, laboratory exercises, student projects, or supervision is an advantage. You are studying at Linköping University. The workplace The Department of Computer and Information Science was founded in
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to industrial processes—yet remains difficult to harvest efficiently with existing technologies. HEAT-BRIDGE addresses this challenge by bringing together ionic thermoelectrics, electrochemistry, mixed ionic
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analysis to better understand how molecular and cellular processes are coordinated across cells, tissues, and organ systems in human health and disease. You will be responsible for developing and applying
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ceramic coatings. The position involves conducting application-inspired basic research on thin film materials where the main goal is to develop new environmentally friendly surface coating processes with
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-bandgap semiconductors and 2D materials, or establish activities on materials and processes beyond current activities, for development of solid-state quantum technology. Materials characterization
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environmentally friendly surface coating processes with maintained layer quality, functionality and reduced energy consumption. The project is carried out in close collaboration with Swedish industry. Publication
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—from the human body and electronics to industrial processes—yet remains difficult to harvest efficiently with existing technologies. HEAT-BRIDGE addresses this challenge by bringing together ionic