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Partnerinserat Übersicht Postdoctoral Researcher – Iterative Learning Control of Industrial Systems 100%, Zurich, permanent Drucken inspire AG is the leading Swiss competence centre for product
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evaluate the SFT and reinforcement learning pipelines used to turn Apertus base models into capable assistants. This role requires a strong background in LLM post-training, solid software engineering
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, Ghent University is a logical choice for its employees as well as its students. YOUR TASKS At least 70% of your assignment will be spent on academic research in the field of machine learning
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capabilities are enhanced through strategies such as reinforcement learning (RL) and innovative frameworks like the "graph of thoughts". We are firmly in the "Age of Computation", where breakthroughs in
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Fabrication: simulation, optimization, and learned surrogate models to design and fabricate efficient, bioinspired robots. Reinforcement Learning and Machine Learning: data-driven methods that let robots learn
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nanocrystals, quantum dots, or other nanoscale materials Machine learning Scientific programming and quantitative data analysis Prior experience with every technique used in the project is not required. The
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and, ideally, experience in VR research, particularly on the perception of time and space in virtual environments Strong quantitative skills (R, Python, or Stata; experience with machine learning or
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sustainability In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the
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transport characterization Using first-principles calculations and machine-learning foundation models during the initial stage of the project to identify promising metastable compositions for experimental
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lab's existing machine perfusion platforms for human and rat liver This will include learning the engineering design, assembly, and operation of the perfusion hardware; developing improved control