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ICSE, SPLC, and ICSA during the past recent years. About the research project As a postdoc, you will conduct original research in the area of AI-based program construction or performance engineering, co
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a person, you are creative, thorough and have a structured approach. When selecting among the applicants we will assess their ability take initiative and move their work forward, to collaborate with
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learning (DL) workflows for extracting, curating, and learning from structured and non-structured polymer data, Develop data-efficient representations for polymers for use in ML models, Develop ML models
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take a leading role in quantitative risk and uncertainty analysis of food safety risk assessments and in the development and implementation methods for the structured elicitation of expert judgement
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to follow do not need to be structured in a specific way, but we recommend that the following points are covered (in the way you prefer): 2) Construct the proposal around the overarching question and the aims
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structures in inflammatory diseases and cancer. The successful candidate will join a growing collaborative research group, who works closely with researchers in the Department of Gene Technology, SciLifeLab
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, data structures, and data analysis. The research team develops algorithms and data structures with provable guarantees, by leveraging theoretical insights to obtain state-of-the-art practical algorithms
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chemistry, physical chemistry, materials chemistry, inorganic and structural chemistry and organic chemistry. The research projects are many from theory to experiment, from basic research to more applied
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advanced electrode materials for aqueous battery applications, and employ various physical characterization techniques (XRD, SEM/TEM, XPS) to investigate their structure and properties. Develop and optimize
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complemented with bulk and single cell RNAseq data from relevant tissues to investigate T2D pathogenesis and its early life programming. Read more about the research here (https://portal.research.lu.se/en