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Field
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the business landscape and service market. In the future market, also referred to as Market 4.0, ecosystems are predicted to be in a dominant position, and various forms of cooperation and joint operation will
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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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for the development of more predictive preclinical platforms. This PhD project is part of the ANR JCJC EXOFLEX project, which aims to develop an instrumented microfluidic platform capable of simultaneously controlling
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apply. Understand ML/DL frameworks such as TensorFlow and PyTorch. Familiar with version control systems such as Github, Git, etc. TOEFL, IETLS or other certificates that can prove your English level
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; development of dairy foods with probiotic, fermented, or other health-promoting properties; application of emerging technologies to understand and control microorganisms in dairy systems; and development
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, building systems and controls of campus facilities and utilities infrastructure including utility budget and capacity planning, electrical distribution systems, emergency power generation, hydronic heating
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, and traceability in accordance with the GDPR and the EU AI Act. Integrate predictive virtual biopsy models in distributed environments. Lead pilot experiments and monitor the convergence of federated
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proteins control gene regulation, protein function, subcellular organization, biomolecular condensation, and intracellular transport. A collaborative and open-science attitude is expected. We expect
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wireless system. Analyse experimental measurements using MATLAB, Python or equivalent computational tools. Compare experimental measurements with modelling or theoretical predictions generated by the wider
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foods with probiotic, fermented, or other health-promoting properties; application of emerging technologies to understand and control microorganisms in dairy systems; and development of predictive