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or predictive modelling, edge AI, AI for biomaterials formulation, processing and manufacturing optimization. Wearable devices – wearable physiological sensors, smart textiles, soft robotics, and exoskeletons
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responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and execute methods for characterizing and linking the texture and
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Application Deadline 9 Mar 2026 - 23:59 (Europe/London) Country Portugal Type of Contract Not Applicable Job Status Not Applicable Is the job funded through the EU Research Framework Programme? European
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: • Develop and optimize high-quality, wafer-scale synthesis and deposition processes for 2D TMDC materials and their heterostructure. • Conduct fundamental research on charge transport mechanisms, exciton and
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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Primary Purpose: We are seeking a highly motivated Postdoctoral Fellow to join a multidisciplinary research program focused on developing a novel ultrasound molecular imaging contrast agent
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Details Title Postdoctoral Fellow in Riemannian Optimization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description A postdoctoral position is
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Research Fellow in AI methods for robotic body-brain co-design Apply for this job See advertisement About the position Position as Postdoctoral Research Fellow available at Department of Informatics
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that integrate prediction and control algorithms, optimizing data transformations, offloading and distributed computing, and exploiting mechanisms such as network slicing and multi-access edge computing
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candidate will be admitted to the PhD program in Science and Technology. The education includes relevant courses amounting to about six months of study, a dissertation based on independent research