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validating mechatronic systems. Experimental methods and testing Programming and software development, specifically with Python-based engineering software development and hardware interfacing. Excellent oral
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of AI approaches at different levels of the model chain, i.e. by implementing end-to-end learning frameworks that link data, forecasts, and operational decisions, while incorporating diverse contextual
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role: Development of server software for the control of different devices at PITZ using the DOOCS API Integration of applications into the accelerator control system Design and implement core operational
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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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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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skills will make a difference. You’ll be working for a university that is internationally recognized for research and the work you do will make a difference in the lives of our students, faculty and staff
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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in
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architectures; • strong programming skills in Python and experience with a deep-learning framework such as PyTorch, including training and evaluating models on GPU/HPC infrastructure; • experience working with
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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