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a Focus on Data Science: A master’s equivalent university degree with above average grades and a relevant doctorate/PhD (e.g. in cognitive science, data science, learning analytics, or a related field
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generation and advanced analytics to drive spatial systems biology research. Your tasks include but are not limited to: Organize and support technical running, optimisation and quality assurance of advanced
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research tasks, mentoring junior researchers, and coordinating multi-stage projects. Fluency in Python and modern deep learning frameworks (PyTorch/TensorFlow). Strong analytical, communication, and academic
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general approaches from cognitive science (resource-rational analysis) to investigate in how far LLMs may acquire “causal world models”. The focus of the project is on the latent representations in LLMs
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biophysics, computational biology, mathematics in the life sciences, computer science and machine learning with application to biological systems, and related areas. What we provide The CSBD provides fully
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. The 3RTG program provides a unique opportunity to: • Conduct research at the intersection of infection biology, animal welfare, and digital analytics • Develop and apply innovative technologies
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM
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training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and familiarity with machine learning
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and reality gap bridging for deformable object interaction (using environments such as MuJoCo, PyBullet, or NVIDIA Isaac Sim) Adaptive feedback control using learned and analytical models Physics
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and