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also have the opportunity to supervise bachelor’s and master’s students. Your profile We are looking for a highly motivated candidate with a strong background in deep learning, scientific machine
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employment. Publication Track Record: At least two first-author research papers at flagship venues of core machine learning research (e.g., NeurIPS, ICML, ICLR, AISTATS). Theoretical Rigor: A deep
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Track Record: At least two first-author research papers at flagship venues of core machine learning research (e.g., NeurIPS, ICML, ICLR, AISTATS). Theoretical Rigor: A deep understanding of
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topics: Development of deep learning models Mathematical foundations of machine learning Optimal deployment of AI systems The candidate is expected to hold a relevant MSc degree in Computer Science
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intelligence, starting 1 April 2027. You will design new sequence-to-expression deep learning models that predict gene expression from DNA sequence in plants, using new experimental datasets generated in the
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, analytical chemistry, or a closely related field Strong experience in machine learning and/or deep learning applied to complex scientific datasets Demonstrated ability to independently develop computational
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computational proteomics, bioinformatics, machine learning, computer science, chemometrics, analytical chemistry, or a closely related field Strong experience in machine learning and/or deep learning
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Science, Machine Learning, Artificial Intelligence, Computational Biology, or a closely related field Has strong theoretical and practical experience in deep learning Has hands-on experience developing
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efficiency. The goal is original research for leading machine-learning, computer-vision and robotics venues. The successful candidate will be expected to conduct original, high-quality research targeting
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end, we are looking for candidates interested in developing new machine learning methods for medical image analysis, with a particular focus in anomaly detection and unsupervised learning. In this