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Doctor-Assistant (Postdoctoral Researcher) in Agentic Modeling of Molecular Data — Ghent University Global Campus

🇰🇷 South Korea · Ghent University Global Campus (Center for Biosystems and Biotech Data Science) · Source: Ghent University Global Campus
Government
Authority / CompanyGhent University Global Campus (Center for Biosystems and Biotech Data Science)
Job titleDoctor-Assistant (Postdoctoral Researcher) in Agentic Modeling of Molecular Data — Ghent University Global Campus
VacanciesNot stated
SalaryAnnual base salary from KRW 46,624,160 (monthly KRW 3,885,347, gross), plus June bonus (92% of monthly salary) and December bonus (100% of monthly salary); free accommodation and yearly travel budget for non-Korean applicants
EligibilityPhD in computer science/engineering, informatics, electrical engineering, applied mathematics, biomedical engineering or a related field; excellent academic record; demonstrable experience at the intersection of (deep) machine learning and the life/health sciences (strong publication record or relevant software); good programming skills (C++, Python and/or R) and familiarity with GitHub; excellent command of English (minimum TOEFL iBT 80); experience with scientific computing and machine learning. Experience with a deep learning framework (PyTorch, TensorFlow or Keras) and 1–2 years of postdoctoral experience are assets.
Application deadlineNot stated
Job locationSouth Korea
Official sourceGhent University Global Campus

How to apply

Merge all application documents into a single PDF (motivation letter max 1 page; full CV with publications and funding applications; contact details of at least two references; copies of BSc and MSc degrees; transcripts; link to doctoral dissertation; teaching statement max 1 page; research statement max 1 page; code portfolio) and email it to Prof. Wesley De Neve at wesley.deneve@ghent.ac.kr with subject line 'Doctor-Assistant in Agentic Modeling of Molecular Data'. Review of applications begins 1 December 2026 and continues until the position is filled.

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