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. Addressing housing-related health risks in the USA, Vietnam, Turkey, and Ecuador, the project integrates community engagement, data science, and computational modeling. The key objectives of ComDisp
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computational modeling. The key objectives of ComDisp are: • Identifying and understanding housing, air quality, and respiratory health issues in each case study. • Linking climate change models to housing
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-based drug design. The position is for a fixed term of three years and is associated with the LEAD AI project co-funded by European Union’s Horizon Europe research and innovation programme under the Marie
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. The position is for a fixed term of 3 years and is associated with the LEAD AI project co-funded by European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant
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participate in the Faculty of Humanities’ ph.d program program . The PhD programme comprises a training component corresponding to 30 ECTS. Qualifications and personal qualities The applicant must hold a
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accepted as basis for admission to the PhD programme. Applicants with education from a Nordic country or those with a medical degree from the EEA area and a license to practice medicine in Norway are exempt
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4-5 pages The names and contact information for two reference persons. One of these must be the main advisor from the PhD programme. CV Transcripts and diplomas and official confirmation
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to the qualifications listed above. the names and contact information for two referees. One of these should be the main advisor from the PhD programme. CV transcripts and diplomas and official confirmation
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proposal of 4-5 pages The names and contact information for two reference persons. One of these must be the main advisor from the PhD programme. CV Transcripts and diplomas and official confirmation
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design using computational methods Organic synthesis MD simulations Knowledge of a scripting language The candidate must demonstrate a structured approach to work, a strong commitment for hit discovery and