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Ogün Adebali

Associate Professor

Sabanci University
Country flagTurkey

Research Interests

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Recent Grants

Grant: Close

Unraveling genome-wide interactions between genome structure and nucleotide excision repair

Open Date: 2020-02-01

Close Date: 2023-02-01

Grant: Close

EMBO Installation Grant

Open Date: 2019-01-01

Close Date: 2024-05-01

Positions (2)

Publisher
source

Ogün Adebali

University Name
.

Sabancı University

Ogün Adebali’s Adebali Lab at Sabancı University is hiring for two research openings in bioinformatics and computational biology . Open positions: a 3-year postdoc and a PhD student . Research areas: phylogenetics, sequence analysis, profile-HMM, machine learning for biological data, evolution, and protein function. Postdoc profile: experience in phylogenetics, sequence analysis, profile-HMM, ML for biological data, and programming in Python/R. PhD profile: bioinformatics background, basic programming skills, and curiosity about evolution and protein function. Funding: the post mentions a 3-year postdoc appointment; no further funding, stipend, or tuition details are provided. How to apply: follow the linked application page shared in the post and review the lab’s instructions. Submit your application materials through the provided link. Keywords: bioinformatics, computational biology, phylogenetics, sequence analysis, profile-HMM, machine learning, Python, R, evolution, protein function.

1 month ago

Publisher
source

Ogün Adebali

University Name
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Sabancı University

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.

1 month ago

Articles (8)

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Collaborators (3)

Igor Zhulin

Rod Sharp Professor in Microbiology

Ohio State University

UNITED STATES
View details

Gunnar Schulte

Professor

Karolinska Institutet

SWEDEN
View details

Aziz Sancar

University of North Carolina at Chapel Hill School of Medicine

UNITED STATES
View details