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to assess stakeholder needs, create PV-integrated sensors to monitor agriculture-specific stressors, model stress impacts on PV performance, and develop innovative PV tracker controls. These elements will be
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monitoring of neurological diseases. While current diagnostic methods rely heavily on bulk measurements (e.g., cytokines, cell counts), they fail to capture the dynamic and heterogeneous nature of central
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work of the research group, it will include elements of method development within sample preparation, instrumental and data analysis, quality assurance/control and semi-quantification, in the context
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domain as documented by a PhD dissertation and/or research publications A solid theoretical and analytical understanding of text culture, AI, and related fields Experience of empirical research methods
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phenotype definitions and the genetic modeling such traits Develop methods to define climate breeding objectives Participate in project applications Collaborate with diverse group of researchers nationally
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documented by a PhD dissertation and/or research publications a solid theoretical and analytical understanding of text culture, AI, and related fields experience of empirical research methods, such as corpus
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candidate is expected to have high motivation and independence and good English communication skills as well as being a team player. Familiarity with openFoam and some experience in experimental methods is
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postdoctoral position in methods development and analysis of multi-omics and clinical data for inflammatory skin diseases. The start date is October 1st, 2025, or as soon as possible thereafter. Research context
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and 2005 and utilising various methods from history, digital humanities, and cultural studies. The position is 2,5 years (30 months). The position is based at the Department of History and Classical
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/MS for example) Advanced knowledge in research design and methods (running extensive experimental studies) Familiarity with practices of transparency and open science Strong interpersonal and