159 deep-learning-phd PhD positions at Università degli Studi di Napoli "Federico II" in Belgium
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seeks to enhance the robustness and efficiency of debiased machine learning methods. This PhD project will primarily focus on this latter component, in interaction with fellow researchers on this project
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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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-sensitive genes in plants, and modeling the evolution of transcriptional systems in silico . We are currently looking for a talented PhD student to work on experimental evolution of diatoms in the context
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analysis. Profile Essential You obtained a Master's in Computer Science, Artificial Intelligence, Bioinformatics, Physics, Engineering, Bio-engineering, or equivalent. Background in AI (deep learning
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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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staff position within a Research Infrastructure? No Offer Description The Department of Architecture (Faculty of Engineering, Heverlee Campus KU Leuven) is looking for two full-time PhD students (48
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systems biology Background in AI (deep learning, probabilistic modelling, generative AI) or machine learning Proficient in Python or R programming Strong communication skills in English Desirable but not
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Social Sciences & Solvay Business School, Department Business Technology and Operations, Research Group MOBI - Electromobility Research Centre is looking for a PhD-student with a doctoral grant. More
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understood. This fully funded PhD project is part of the Methusalem project granted to Prof. Yves Van de Peer and aims to gain a deeper understanding of polyploidy through genomics, experimental evolution
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and measurement systems. Basic knowledge in machine learning, deep learning and/or data fusion and modelling tools, and eager to learn about more advanced modelling techniques. User of engineering