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communication skills and willingness to work in a cross-disciplinary, collaborative environment. Desirable criteria Experience with machine learning or pattern recognition methods. Familiarity with wavefront
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(WEFE) nexus, and model-based learning and communication. The group makes use of a variety of tools and techniques: stakeholder mapping, governance analysis, participatory modeling, non-linear feedback
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p.m., EST) Machine Learning (ML) , applications open from September 23rd 2026 to December, 9th 2026 (03:00 p.m., EST) Neural Computation (PNC) , applications open from September 23rd 2026 to December
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and processing data streams, with theories and methods for planning and
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, physiology and disease development; profile root and leaf microbiomes using amplicon sequencing; analyse integrated microbiome and phenotyping datasets; contribute to machine-learning models predicting
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estimation of 3D coronary hemodynamics (velocity, pressure, and wall shear stress fields); design computational pipelines that integrate image-based anatomy, blood flow physics, and uncertainty quantification
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months and after satisfactory evaluation it will be extended for a total duration of 4 years). The preferred starting date is as soon as possible. We will draft an educational plan that includes attendance
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. The topic of the doctoral research will on development of efficient and scalable search engines. This entails design of new retrieval models, efficient query processing, and use of modern hardware
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experimental design. Adapt, develop and learn new tools, software, and methodologies independently. Present and publish research in both academic and non-academic audiences. Attend and participate in academic
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, fully funded, position for a four-year PhD research project on global migration and Europe’s strategic autonomy. Your job Talent is a critical yet scarce resource in contemporary innovation systems