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Special weight will be given to Experience in collaborating in teams and with industry in areas relevant to chemical engineering Current experience in collaborating with the wider community, as
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and Semantic Systems (RSS). The RSS division focuses on research and teaching in AI, Machine Learning, Robotics and Robotic Learning, Human-Robot Interaction, and Natural Language Processing. Together
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the order of its four building blocks, we can make DNA and RNA fold into precise nanoscale machines, carry out logical computations, and store and read out information. We are looking for one or two
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modeling of protein dynamics We are seeking a highly motivated PhD student to join a DDLS-funded project at the interface of structural proteomics, protein biophysics, and machine learning. The position is
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, such as graphene-like materials, has brought a fresh stimulus for spintronics. This project aims to understand, observe, and realize novel charge, spin, and orbital phenomena using thin film
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. Required qualifications: PhD in a field such as physics, systems biology, applied mathematics, machine learning, or related fields. Strong programming skills (e.g. Python) and experience with modern ML
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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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machine learning. The project combines methodological research in statistics with applications to large-scale social science data. The successful candidates will have the opportunity to collaborate closely
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printers. You possess strong computer and web skills, including proficiency in Microsoft Office and the ability to navigate various digital platforms. You have an understanding of decision-making structures
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or heterogeneous environmental datasets Familiarity with spatial analysis, GIS, or geospatial data workflows. Experience with machine learning, modelling, or systems analysis approaches Interest in resilience