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techniques and machine learning algorithms. The goal is to decipher patterns in the bioelectrical signals. Project UID-50008-2025 funded by FCT-Fundação para a Ciência e a Tecnologia. Scientific Area: Basic
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Assistant/Associate to design and deliver experimental and empirical research to test how developmental processes influence adaptation to environmental change. The role will focus on generating high-quality
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@ncl.ac.uk Key Accountabilities Develop and implement novel demographic and evolutionary models that incorporate developmental processes Lead the design and analysis of simulation studies to test hypotheses
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extraction materials. Addressing these challenges requires fundamentally new approaches that integrate mineral liberation, molecular recognition, and process engineering. This PhD project contributes
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education institution following the provisions of Article 25 of Decree-Law / no. 66/2018, of 16 August, which approves the legal regime for the recognition of academic degrees and diplomas of Higher Education
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materials, conjugation chemistry, nanoscale characterisation, and immunomodulatory system development. They will design, synthesise, and characterise electroactive collagen-based hydrogels and fibrous
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electronic devices (PEDs) are widely used. However, ensuring effective electrical protection for such an innovative LV network design remains critical. In this role, you will contribute to Newcastle
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, leading to different models being used. However, in recent years model topologies for automatic speech recognition and many other speech processing tasks have started to converge - driven by research focus
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? We urgently need breakthrough research in: recyclable & durable materials fast, data-driven surrogate models lifecycle-conscious design to reduce costs, increase reliability, and accelerate the North
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of warning signs (“prodromes”) of impending flares, including type and progression of symptoms in flares, could help in providing earlier recognition. Previous related observational research has identified