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are these impacted by different land use scenarios? How can we use machine learning to predict soil microbiomes from either pristine or agriculturally used soils, predict their functional capacity (e.g. carbon storage
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courses about parallel computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer Science
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engage with it in the future. Qualification Required Master’s degree (or equivalent) in Computer Sciences or a related field by the beginning of the project Experience in machine learning Ability
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for Associate or Full Professor rank. Candidates must have a PhD in Chemistry, Biochemistry or related area and postdoctoral experience. We are seeking exceptional candidates whose research expertise lies broadly
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of computer-aided drug design, pharmacophore modelling, docking and virtual screening. You should be a team player with high social skills You are expected to subscribe to the PhD program of the PhaNuSpo
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lit. b (postdoc) Limited until: 31.12.2029 Reference no.: 4269 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced
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-based methods and big data applications and machine learning methods. Research focus will be on feedback processes between erosion, sedimentation, tectonics and climate, and topics could include interplay
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AI, we’re assembling a world-class founding team at the cutting edge of earth science and machine learning. We’re hiring a Founding Geoscientist to join us at the ground floor. Next-generation
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cloud data using state-of-the-art techniques (e.g., image processing, machine learning) A significant fraction of the work will be focused on the maintenance and strategic development of the group's
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that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study