Ogün Adebali
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PhD Student and Postdoctoral Researcher in Evolutionary Biology, Computational Protein Analysis, and Machine Learning Sabancı University in Turkey
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
The project is funded. Both positions include free on-campus accommodation.
Country
Turkey
University
Sabanci University

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About this position
Sabancı University in Istanbul is hiring for two research openings in a funded project at the intersection of evolutionary biology, computational biology, bioinformatics, computational protein analysis, and machine learning.
The group led by Ogün Adebali (Associate Professor) is looking for an enthusiastic PhD student and a Postdoctoral Researcher to join the team. The research direction includes evolutionary genomics, phylogenetic inference, ancestral reconstruction, gene duplication/loss analysis, sequence analysis, protein family annotation, and ML methods for biological data.
Postdoctoral Researcher requirements: strong background in evolutionary genomics or computational biology; experience with tree building, ancestral reconstruction, gene duplication/loss; sequence analysis tools such as MSA and profile-HMM; protein family annotation; machine learning experience including gradient boosting and feature engineering; strong Python and/or R programming; ability to work independently and publish.
PhD student requirements: degree in bioinformatics, computational biology, molecular biology, computer science, or a related field; familiarity with sequence analysis and/or evolutionary biology; basic Python or R skills; curiosity about how evolution shapes protein function; bonus experience with HMMs, phylogenetics, or ML for biological sequences.
Funding: the project is approved for funding, and both positions include free on-campus accommodation.
How to apply: email Ogün Adebali at [email protected] with the subject line Postdoc Application or PhD Application. No deadline was stated in the post.
Funding details
The project is funded. Both positions include free on-campus accommodation.
What's required
Postdoctoral applicants should have a strong background in evolutionary genomics or computational biology, hands-on experience with phylogenetic inference (tree building, ancestral reconstruction, gene duplication/loss), sequence analysis skills (MSA, profile-HMM, protein family annotation), experience with machine learning (gradient boosting, feature engineering for biological data), solid programming skills in Python and/or R, and a track record of publishing and working independently. PhD applicants should have a degree in bioinformatics, computational biology, molecular biology, computer science, or a related field, familiarity with sequence analysis and/or evolutionary biology concepts, basic programming skills in Python or R, curiosity about evolution and protein function, and bonus exposure to HMMs, phylogenetics, or machine learning for biological sequences.
How to apply
Email Ogün Adebali with the subject line 'Postdoc Application' or 'PhD Application'. Include your application by email to [email protected].
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