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Field
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. The position will involve developing probabilistic frameworks to characterize compound hazard frequency and severity under current and future climate states. The position offers the candidate the opportunity
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Independent research in the field of psychotherapy research or clinical psychology (development of one’s own research profile is actively supported), as well as participation in research projects in the field
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elaborated an algorithm for identification of cancer specific T cells, which selectively kill autologous tumour but not healthy lung tissue. Simultaneously, we have developed the method for identification and
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directly or indirectly support DDSS-supported projects or its mission. Candidates will be able to apply and further develop their technical skills in a dynamic research environment. The successful candidate
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, in the scientific area that the Competition is open, indexed in the Science Citation Index Expanded of the Web of Science from Clarivate Analytics where document type = article or document type
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studies, content analyses, surveys, randomized experiments, qualitative studies, and mixed-methods research. Develop research protocols, coding instruments, codebooks, survey questionnaires, experimental
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or co-author of at least 10 articles, in the scientific area that the Competition is open, indexed in the Science Citation Index Expanded of the Web of Science from Clarivate Analytics where document type
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the specification of software requirements in coordination with faculty or team leads. ● Develop user interfaces, APIs with web front-end technologies like HTML5, SCSS, Vue, React, Typescript, D3.js, node.js
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-funded research in neuroimaging biomarker development, with a primary focus on Huntington's disease (HD). The researcher will also contribute to other ongoing projects in brain tumor imaging, movement
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candidate will work at the forefront of exoplanet research and will have the opportunities to extract scientific results from multiple JWST programs, develop and apply advanced atmospheric and surface models