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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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The candidate will be part of the MUNI-RISK and MMinE-SwEEPER consortia that will advance scientific understanding on risks of munition in the marine environment and develop methods for risk prioritizing and
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on understanding how different excitation methods generate polarons and correlated materials in the cuprates and other quantum materials, building on our recent results in the vanadium dioxide (see Johnson et al
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publication record relative to career stage Excellent written and spoken English communication skills Following qualifications will be considered as an advantage: Experience with explainable AI 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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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