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Field
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) to improve disease characterization. Develop cutting-edge architectures (e.g., federated learning) for medical research. Publish high-impact research in leading journals and conferences. Collaborate with
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems
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-photon imaging in the ferret. The end goal of our work is to test a model of excitatory-inhibitory interactions against data collected in an animal model with columnar architecture in primary visual cortex
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departments, including public health science, landscape architecture, landscape engineering, urban and regional planning, property development and property law. The Faculty has 1300 students and 180 employees
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Optimization:Design, build, and fine-tune LLMs and other AI models to address complex challenges in multimodal learning.Develop scalable and efficient architectures for deploying models in real-world environments. 3
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universities. analyse various vehicle architectures and configurations with special emphasis on the two-stage-to-orbit (TSTO) vehicle based on LOx-methane cryogenic liquid propulsion, engine clustering, low
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, with the primary workplace located at the Otaniemi Campus in Espoo. Life on the revitalized campus is vibrant, featuring stunning architecture, tranquil nature, and a variety of cafes, restaurants, and
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. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). A broad understanding of machine learning methodologies and
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scientific facilities: The CFN conducts research on nanomaterial synthesis by assembly designing precise architectures with targeted functionality by organizing nanoscale components. The CFN researches and
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. Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent