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Field
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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computational research; superior oral and written communication skills; experience with scientific publication; excellent interpersonal communication; demonstrated expertise in deep learning, preferably as
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for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI
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cycle assessment, life-cycle cost analysis, pavement simulation, machine learning, deep reinforcement learning, and/or physics-informed modeling frameworks; and demonstrated ability to effectively
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. The research will be carried out at the Department of Information and Communications Engineering, DICE, at Aalto University, Finland. The project environment offers excellent infrastructure for deep learning
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knowledge-guided machine learning, physics-informed machine learning, scientific foundation models, graph neural networks, geometric deep learning, operator learning, generative models, or AI agents
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and deep learning methods for large-scale genomic, clinical, and imaging biobank data, with stable multi-year NIH support. The Zhi Laboratory has a sustained track record of methods development
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need to match every topic or method listed below. We value deep expertise in at least one area, intellectual range, scientific ambition, and the ability to collaborate across computer science and the
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, extract, and standardise functional information 2. Develop computational tools that integrate evolutionary and functional information using comparative genomics and deep learning approaches 3. Apply
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 2 days ago
, the LISA Consortium, and the LISA Distributed Data Processing Centre, where the department leads waveform generation and the global-fit deep analysis. Your tasks Research areas Analytical modeling