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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
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language (C++, Python, Rust, …) One high-quality first-author paper (journal or top-tier conference) You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research
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models and/or probabilistic modelling, and excellent programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are required. Excellent skills in spoken and written English
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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are a strong merit but not a requirement. Programming knowledge in Python, and experience of data science tools such as Numpy, Pandas or Matplotlib is a merit, as well as experience of using modern deep
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and communication. Additional qualifications Relevant postdoctoral studies or equivalent industry experience are a strong merit but not a requirement. Programming knowledge in Python, and experience
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excellence as evidenced by strong scientific publications and track record relative to career stage. Strong programming skills (Python or R) and familiarity with high-performance computing Preferred
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. PCR, nucleic acid handling). Experience in computational data analysis (for example in Python). Ability to work both independently and as part of a collaborative, multidisciplinary team. Meritorious
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. Required qualifications: PhD in a field such as physics, systems biology, applied mathematics, machine learning, or related fields. Strong programming skills (e.g. Python) and experience with modern ML