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relationships. You are motivated to acquire new skills and work in a multidisciplinary team. You have practical experience with experimental work and data analysis. You act with attention to quality, integrity
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digital methods of literary analysis and academic communication are another plus. International contacts in German-speaking countries and beyond are of advantage. You work well as a team player in exchange
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analysis” (Bachelor Chemistry) and the elective course “plasma diagnostics” in the Master’s program in Chemistry, as well as an additional course, for example in Physical Chemistry. You will play a role in
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study designs. (Co-)Authorship in published scientific articles would be a plus. You have basic skills in data cleaning and analysis. Your research qualities are in line with the faculty and university
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a related field, please describe and highlight your experience doing language-focused/linguistic analysis, such as discourse analysis, in your motivation letter and CV. You have a strong academic
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of created wetlands across the whole Schelde river basin. You will work on field sampling, lab analysis, data processing, the writing of scientific publications, and preparation of a PhD thesis, with the final
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-regulatory network analysis approaches, developed and employed in the Malysheva Lab, are required to reveal these mechanisms. With the proposed project we aim to bridge this gap in our knowledge of cis
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appointment) in digital text analysis, digital humanities, linguistics and literature, applied linguistics, communication sciences, computer sciences or similar. You have a background and/or strong interest in
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, troubleshooting and analysis Experience in Immunology or Neuroimmunology Experience in working with mouse models (FELASA B or C required) Ability to adapt to the research environments while being full members
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critical, scientific mindset and are interested in proteomics technology and data analysis. You have basic knowledge of statistical tools. What we offer We offer a full-time PhD scholarship for a period of 1