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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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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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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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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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/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
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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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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