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Data Core, and explore synergies across multiple VIB data-driven labs. He/she will be exposed to and learn from experts in related fields such as Artificial Intelligence (AI), High Performance Computing
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RNA-Seq, ChIP/DAP-Seq protein-DNA interaction data, bulk, and single-cell ATAC-Seq) and the application of diverse supervised machine learning approaches (e.g., feature-based, deep learning, and
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are currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning. In particular, we develop machine learning methods to derive
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are currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning. In particular, we develop machine learning methods to derive
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Description The Yves Moreau and Stein Aerts research labs are looking for a shared PhD student to apply deep representation learning and large language models to decipher the genomic regulatory code
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of experience in a similar position, or you are a driven and eager-to-learn junior who can quickly adapt through self-study and training. Proficiency in MS Office Suite (Word, Excel, Outlook, PowerPoint) with
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trajectories. Leveraging deep learning, generative models and cross-modal autoencoders and working with both structured and unstructured data, the goal of this project is to develop a statistical framework and a
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, Molecular Biology, Natural Sciences or related disciplines be very motivated and enthusiastic to learn and expand both computational and experimental skill sets have an analytical mindset be able to summarize
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Office Enthused about working in an exciting, young, dynamic and multicultural environment Dynamic, driven and eager to learn Enjoy working independently as well as collaborating with a team for larger
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administrative, driven and eager to learn focus Minimum 2 - 4 years of experience in a personal assistant role or similar You are praised for your accuracy, proactivity, flexibility and customer focus You are a