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Abhishek Garg

Professor at KU Leuven

KU Leuven

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Belgium

Has open position

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Research Interests

Immunology

100%

Cell Biology

60%

Cancer Biology

70%

Immunomodulation

60%

Apoptosis

40%

Inflammatory Biology

40%

Tumor Immunology

30%

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Positions1

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Abhishek Garg

University Name
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KU Leuven

Postdoctoral Position in Computational/AI Antibody Design for Immuno-Oncology

KU Leuven invites applications for a postdoctoral position in computational/AI antibody design within the Department of Cellular & Molecular Medicine, under the supervision of Prof. Abhishek D Garg. This role is part of a collaborative immuno-oncology platform, in partnership with PharmAbs, aiming to bridge academia and industry through innovative research in cancer immunotherapy. The successful candidate will join a dynamic, multidisciplinary team focused on leveraging advanced machine learning and multi-omics approaches to identify clinically relevant biomarkers and develop novel immunotherapeutic strategies. The position centers on building and optimizing computational pipelines for antibody engineering, including antibody generation, affinity maturation, and sequence optimization. State-of-the-art tools such as AlphaFold2, RFdiffusion, and multi-omics data integration will be employed to guide the rational design and evaluation of therapeutic antibodies. Responsibilities include designing scalable computational frameworks, implementing robust scoring metrics (binding affinity, developability, biocompatibility), and collaborating with multiple research teams. The role offers significant opportunities for professional growth, training, and leadership within a high-impact, translational research environment. Applicants must have a PhD in computational biology, cheminformatics, AI-guided antibody design, in silico drug discovery, protein modelling, or a related field. Essential skills include experience with antibody design models (e.g., RFdiffusion, boltzgen, AlphaFold3), affinity prediction tools (FoldX, RosettaFold, ESM), virtual screening, and developability assessment (aggrescan, AbImmPred). Proficiency in Python, Bash scripting, high performance computing, and statistical analysis is required. A strong publication record, motivation, creativity, and excellent English communication skills are expected. The position offers a full-time contract for one year, with the possibility of extension for at least three more years. Candidates are encouraged to apply for personal postdoctoral funding. KU Leuven provides access to cutting-edge machine learning infrastructure and a stimulating international research environment. The university is located in Leuven, Belgium, a vibrant city just 20 minutes from Brussels. For more information, visit the CSI Lab and PharmAbs websites. Interested candidates should apply via the KU Leuven job portal . For inquiries, contact Prof. dr. Abhishek Garg at [email protected]. KU Leuven is committed to diversity, inclusion, and equal opportunity. The university fosters a respectful and supportive environment for all staff and students.

just-published

Articles10

Collaborators10

Damya Laoui

Vrije Universiteit Brussel

BELGIUM

Marc A Vooijs

Maastricht University Medical Centre

NETHERLANDS

Leonidas G Alexopoulos

tenured track professor

National Technical University of Athens

GREECE

Indu Khatri

Leiden University Medical Center

NETHERLANDS

Monica Vara-Perez

Vrije Universiteit Brussel

BELGIUM

Jo Van Ginderachter

Vrije Universiteit Brussel

BELGIUM

Steven De Vleeschouwer

part-time professor

KU Leuven

BELGIUM

Jannie Borst

Leiden University Medical Center

NETHERLANDS

Yanling Xiao

Assistant Professor

Leiden University Medical Center

NETHERLANDS

Sophie Janssens

Full Professor

Ghent University

BELGIUM