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ambitious PhD candidate to join the Efremov Lab at the VIB Center for Structural Biology (VIB-CSB) as part of the newly funded Marie Skłodowska-Curie Doctoral Network ANA-KIN. This position offers a unique
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learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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We are seeking a motivated PhD student with a background in protein engineering, structural biology, chemistry or biophysics to join our efforts in designing and characterizing membrane proteins
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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions
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We are seeking a motivated PhD student with a background in protein engineering, structural biology, chemistry or biophysics to join our efforts in designing and characterizing membrane proteins
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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions
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stability metrics (FoldX, Rosetta, PRODIGY). Contribute to automation and scaling of the full pipeline from NGS data to ranked structural models. Your profile Qualifications MSc or PhD in
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stability metrics (FoldX, Rosetta, PRODIGY). Contribute to automation and scaling of the full pipeline from NGS data to ranked structural models. Your profile Qualifications MSc or PhD in
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to translate fundamental discoveries into sustainable agricultural applications and to enhance the climate resilience of crops. This PhD position will be embedded in the Bioinformatics and Evolutionary Genomics