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Field
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close collaboration with industry, academic partners and the public sector. This presupposes that the candidate actively participates in these networks. Qualifications According to the Higher Education
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collection (experiments, surveys). Expertise in advanced machine learning techniques and large language models (LLMs) —including web scraping, text mining, and neural networks—is considered a strong merit
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an account of other relevant experience an account of managerial and administrative experience plans for future work an account of collaborations, international network experience, etc. a list of publications
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: Publish results in peer-reviewed journals and present at international conferences. Collaboration and networking: Work closely with academic, industrial, and survey partners, contributing
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maintain national and international networks with academia, the relevant public authorities, industry, organisations and society at large; collaborate with other SLU research teams to strengthen
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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of analyzing complex environmental variables and human-made chemical mixtures to understand their impact on ecosystems and human health. The position involves laboratory-based experimental work and field studies
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their ability to: independently pursue his or her work, collaborate with others, have a professional approach and analyze and work with complex issues. Meritorious Prior hands-on experience with microfluidics
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. During the selection process, candidates will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex
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will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex issues. After the qualification