154 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "P" positions at ETH Zurich
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This computational project will employ calculations based on density functional theory (DFT) and extensions of DFT, such as DFT+U and DFT in combination with dynamical mean-field theory (DMFT). It is
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. Within the ITS section Scientific IT Services the group Computational & Data Science Support (CDSS) aims at bridging the gap between computational research and IT services and infrastructure provisioning
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pipeline in design. If you are a highly motivated and creative individual with a passion for innovation, we want to hear from you. Project leadership & coordination: Plan and deliver work packages, manage
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), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and data
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of fundamental and disease-focused areas. To advance these efforts, the Platt group is recruiting a full-time (100%) experienced researcher to develop and apply computational methods for novel
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the research platform, support interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage, process, and analyse large environmental datasets. Job
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100%, Zurich, fixed-term We have an open PhD position in Human-Computer Interaction with a focus on intelligent and adaptive systems for Augmented Reality, Mixed Reality, and Extended Reality
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The Leadership Companion is an AI-based project at ETH Zurich that focuses on leadership and collaboration in organizations. The project is currently in the research and prototyping phase. Together with partners from academia and industry, we are working on addressing questions and further...
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at the interface of computational modeling, biomedical data analysis, and clinical neuroscience. Job description Support clinical trial planning, including modeling of historical control groups and the development
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experimental and simulated data, leveraging AI and machine learning techniques Contribute to novel computational optimisation methods for machining processes Develop and implement automation solutions, including