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or women’s health. The applicant must be fluent in English (written and spoken) and have experience with large-scale health data and epidemiological or related analytical approaches and methodology. Experience
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behavioral data and present results at conferences and in journal publications. This project is theoretically and technically sophisticated and a candidate with strong analytic and quantitative skills
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optimizing color selection for attentional purposes. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret EEG and behavioral data and present results
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here . Further information Further information may be obtained from Carlos Acevedo-Rocha: cargac@biosustain.dtu.dk Google Scholar profile: https://scholar.google.com/citations?hl=en&user=yZDS88IAAAAJ
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proliferation and the faithful transmission of genetic information to daughter cells. However, replication forks are constantly challenged by a wide range of intrinsic and extrinsic stressors, including metabolic
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utilizes the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations. The environmental medicine group studies the impact of early life
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analytical methods to large data sets The possibility for contract extension Flexibility in planning working hours Advanced professional training opportunities Possibility of participation in international
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of CRISPR-based genome editing. Good communication skills, both oral and written. An analytical aptitude for devising innovative scientific or technical solutions. For further information, please contact
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Information For further details about the position, please contact Professor Vijay Tiwari at tiwari@health.sdu.dk Application deadline January 11, 2026, at 23:59 hrs. CEST Apply online: https://fa-eosd
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, or process engineering is therefore an advantage. Your profile The ideal candidate holds a Master's or PhD in Biological-, Chemical-, Process-, or Mechanical engineering, or a related field. The ideal