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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
in complex engineer-to-order shipbuilding. Realizing the full potential of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and
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with the project team; 2. Choice of technology; 3. Prototype development; 4. Design of prototype evaluation methodology; Execution of the evaluation and analysis of results; 5. Correction of any
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the image-processing pipeline for the detection, tracking, and characterization of space objects. I.4. Gross monthly wage: 2.408,11 euros, corresponding to remuneration level 33 to the single remuneration
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for analysing authentic, synthetic, and manipulated images or videos. The work will combine predictive performance with explainability, uncertainty estimation, robustness, and generalization. Attention will be
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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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chains and security in a tense geopolitical situation. To demonstrate and prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business
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/Qualifications Eligibility requirements: medical diploma, the right to practice the profession of a doctor, scientific degree of doctor of medical sciences, specialization in radiology and imaging diagnostics
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achieving both economic and environmental gains through the reduction of testing, prototype development and creation of more efficient end-products. For instance, the usage of CFD in Boeing allowed a
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based tissue imaging. The work also includes functional characterization of genetic variants identified in patient cohorts, as well as testing of immunomodulatory drugs that affect IL 12/IFN γ signalling
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develop computational and structure-guided approaches to understand immune recognition and design next-generation vaccines against respiratory pathogens. Our work integrates computational protein design