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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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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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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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involvement, circulating tumor cells or specific tumor & micro-environment interactions, etc. is considered a plus. Your profile You have obtained a PhD degree in the field of the (Bio-) Medical Sciences
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Description We are looking for a highly motivated PhD student to join the Nucleic Acid Immunity Lab at the VIB-UGent Center for Inflammation Research. Lab website: https://www.irc.ugent.be/groups
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sequencing data generation and interpretation Bioinformatics and statistical analysis, to characterize genome evolution, mutation processes, and adaptation patterns The PhD candidate will progressively
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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 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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well as public databases. Expertise in the data analysis of one of the modalities that we will use in this project (single cell transcriptomics, ATACseq, proteomics or long-read DNA or RNA sequencing) will