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extractions is meritorious but most importantly a good track record of experience in multidisciplinary work. The position requires sound verbal and written communication skills in English. Swedish is not a
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analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with
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Communication, (UKK) Position description The purpose of the position is to give the employee an early opportunity to develop his or her independence as a researcher and to create the conditions for further
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track record of industrial and academic collaboration globally and has published a large number of papers on 2D materials in Nature Communications, Advanced Materials, Advanced Functional Materials
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that share the same research questions around adhesives and adhesive bonding. Therefore, besides the scientific tasks, the position also includes responsibility for research communication by participating in
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, pathogens and drivers of nutrient cycles, but it has been difficult to study them in their natural habitats. We want to use and develop a novel way to investigate soil microbial communities and species over
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the criteria outlined below and provides an excellent training opportunity for a talented and ambitious scientist. The working ‘day to day’ language in the laboratory is English. Description of the project
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communication skills in English, both written and verbal Meritorious: Strong mathematical background combined with solid programming skills * The date shown in your doctoral degree certificate is the date we use
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in English (spoken and written); knowledge of a Nordic language is considered a merit Ability to work effectively in an international and interdisciplinary environment *The doctoral degree must have
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We are seeking a highly motivated and skilled Postdoctoral researcher with interdisciplinary expertise to develop risk assessment and mitigation models using Large Language Models (LLMs