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analytics. Virtual screening and efficacy testing using AI-driven approaches to identify promising drug candidates from large chemical libraries. (Retro)synthesis planning using AI to propose feasible
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in their domain. Interaction with various support services, e.g. research software engineers. Qualifications An ideal applicant has: A doctoral degree in a suitable field for the work to be carried out
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develop AI in scientific research in the context of DIVSOL. The candidate will also interact with various support services, e.g., research software engineers. In addition, the candidate will actively
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the context of DIVSOL. The candidate will also interact with various support services, e.g., research software engineers. In addition, the candidate will actively contribute to teaching and administrative tasks