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project - “Advanced integrated co-packaged optics transceiver module for high-speed network applications”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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The net uptake of carbon to terrestrial systems (LULUCF) in Norway is estimated to be 20-25 MtCO2e/yr or about 50% of the anthropogenic greenhouse gas emissions. However, the positive trend in the estimated
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services High level of analytical capability. Prior experience of linking with key stakeholders and developing networks. Ability to contribute to broader management and administrative processes. Possess
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of staff networks which provide peer support and safe spaces for staff who hold these and other identities.
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various sets of data to prepare databases for cross-disciplinary AI research and learning. Incorporates open knowledge graph networks. Takes the lead in drafting scientific papers and technical documents
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the following criteria will be emphasised: submitted scientific work and your personal skills for completing the project within the time frame international experience and network qualifications within the areas
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, expand your network, and shape the future of AI-enabled scientific discovery. Why Apply NTU is a world-leading research-intensive university consistently ranked among the best globally. In the 2025-26 U.S
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versus host disease (GVHD), and cancer immunotherapy. Specific areas of interest include inflammatory cytokine networks that contribute to GVHD, inflammatory cytokine signaling and regulatory pathways
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, and collaborative international working environment that values diverse perspectives Access to a strong network of top-level national and international collaborators Research mobility funds supporting