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control Strong background in machine learning and data-driven modeling for engineering systems Experience with scientific programming (e.g., Python, MATLAB) and numerical methods Proven ability to conduct
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are excited to push the boundaries of responsible AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/ . Tasks and Responsibilities Develop machine learning methods and tools with a
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· Develop and apply transformer-based foundation models and machine learning methods for large-scale epigenetic datasets · Integrate longitudinal data and biological prior knowledge into AI models · Actively
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to learn innovative approaches in data analysis, including the programming, AI – tools, machine learning Mobility condition: - the candidate MUST NOT have their main activity (residence/work/studies) in
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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is enabling major advances in clinical pathology and cancer diagnostics. Today’s AI methods require large amounts of data with a detailed ground truth annotation that the AI system can learn from. In
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information, or quantum algorithms Knowledge of machine learning (e.g., deep learning, optimization, or learning theory) Programming skills in Python and experience with scientific computing (e.g., NumPy, SciPy
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a user-friendly mapping solution. What you will gain: Develop and apply advanced AI and machine learning methods on complex, large-scale data to solve tangible infrastructure problems Gain hands
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of Statistics and Operations Research( https://isor.univie.ac.at/) , University of Vienna, is offering a PhD position in the area of Mathematical Statistics and Machine Learning, starting at the earliest possible
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and computer scientists PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust