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(e.g. Industrial Ecology, Ecological Economics, Geography) Good or excellent programming skills for data analysis (experience in Python or R is preferred) Experience with input-output analysis is
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PhD position understanding and designing nanomedicines-membranes interaction: physics based approach
analysis and programming experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under-represented in academic posts
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, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
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, AI or a related field; Strong programming skills (e.g., Python, PyTorch); Familiarity with modern ML frameworks and experience with large-scale models; Interest in interdisciplinary research
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many other PhDs within the REAP2SOW consortium by conducting field-work and experiments together. Key responsibilities align with ability to collaborate with multiple stakeholders but also across
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programming skills (Python/C++); Proven interest in generative models and Explainable AI is a plus; Analytical and creative mindset, with the ability to work independently and in teams; Excellent command
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NLP, machine learning, and deep learning. Excellent programming skills (preferably in Python), with experience in fine-tuning language models and working with deep learning frameworks (e.g., PyTorch
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programming skills (preferably in Python), with experience in fine-tuning language models and working with deep learning frameworks (e.g., PyTorch); Interest in interdisciplinary research (e.g., HCI
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across scales, combining multiple fields including physics, mathematics, astronomy, history & philosophy of science, and social science. Its approach to societal engagement throughout the project’s 5-year
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; Experienced with writing scientific manuscripts and excellent academic writing skills; Excellent programming skills (preferably in Python); Interested in contributing to educational activities; Excellent