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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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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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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
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updates for the professors Management of the laboratory's website and databases Profile Essential Bachelor's degree or equivalent experience with a strong administrative focus and an eager-to-learn attitude
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an environment that changes fast and is eagerly willing to learn new skills. One part of the work relates to cell biology, including classical cell culture, cell transfections and selection, but may
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to learn, or who are switching fields would be highly valued. We are looking for people who love to solve problems. The selected postdoctoral fellow will design, implement novel screening approaches, and