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individually, make a real difference. The role We are recruiting a postdoctoral researcher for project PROTEQT (QuantERA) (Fixed term contract upto June 2027). The successful candidate will lead the theoretical
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with experience applying these models to practical applications for real-world challenges. Good programming skills, Python is mandatory, other languages (e.g., Java, C++) will be considered a plus to
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scientific programming in Python and the use of frameworks such as PyTorch or TensorFlow. It is also necessary to have experience in federated learning and deep learning applied to medical imaging, as
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Mathematics, Operational Research, or a closely related discipline. Demonstrable experience of conducting independent research and delivering research outputs. Strong programming skills in Python for data
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males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high
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Python scripts, calibrate specialised instrumentation and solve technical challenges that directly support researchers conducting experiments in a unique outdoor laboratory. Working alongside researchers
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of this master thesis is to evaluate the economic impact of different policy instruments on DAC economics. You will review existing policies for DAC and model the impact of these on the cost of CO2 capture and
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part of change Development of novel image and video representations Research on alignment between different visual representations, e.g. foundation models Research on properties of learned visual
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” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. The most
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), Python scripting, and AI/ML capabilities in Azure (e.g., Microsoft Foundry). Create reusable playbooks, agent templates, and modules (e.g., FAQ agents, tool-invoking agents, knowledge bots) for replication