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Engineering. Therefore, the department invites applications from candidates who are driven by excellence in research and teaching as well as external collaboration on societal challenges. The position will be
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Computer-Aided Drug Discovery modeller to join our team. Your new role Your main responsibilities will be to drive Drug Discovery projects by identifying, developing, and delivering high quality modelling
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will lead efforts to apply state-of-the-art AI techniques (machine learning, deep learning, generative models, etc.) to the discovery and development of new materials in critical domains: water, energy
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environmental modelling, including data science methods such as AI and machine learning Proficiency in GIS and R programming or similar Effective communication skills and experience working with authorities
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. The candidates will be responsible for collaboratively building up the area of supply chain digitalisation with a primary focus on data governance, artificial intelligence, and applied machine learning. Successful
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value theory, non- and semiparametric statistics, missing data problems, causal inference, graphical models, event history analysis, benchmarking, spatio-temporal modelling, machine learning, and
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with the section's work, covering a wide array of specializations in advanced electronic systems. These include FPGA and neuromorphic computing, Edge AI, machine learning, sensing, and energy harvesting
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activities, which span a diverse range of advanced electronic systems. These include FPGA and neuromorphic computing, edge AI, machine learning, sensing technologies, and energy harvesting—key components
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and Python); Ability to work productively both independently and as part of an interdisciplinary team. An interest and willingness for learning new methods and technologies in a fast moving and highly
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. You will also work closely together with course teams to develop data generation, data analysis, modeling, simulation, and machine learning workflows as well as develop custom data science-related