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regressions, Bayesian analyses). You preferably have experience supervising and/or teaching students. You preferably have knowledge of swarm robotics and/or deep learning artificial neural networks (e.g. CNN
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experts and in alignment with ongoing initiatives within the Agency. Your objectives will be to perform independent research and development, targeting one or more of the following key areas, subject to
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logistics companies to collaborate effectively and optimise operational scheduling across multi-actor systems, ensuring sustainability and efficiency at both company and system levels. Research Objectives
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life (houses, objects, mobility, and diet), and in performed settings (burials, feasts, and figurative objects), to reconstruct how social inequalities featured in these social arenas. The aim is to both
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Chemicals), actively participating in further implementation of high throughput transcriptomics for chemical hazard assessment. The objectives are to 1) develop co-expression models for a range of high
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objectives: Assess and understand the sources of interpretation variability in conventional online in-situ data collection platforms using automated (eye) tracking techniques. Develop a VR workbench that
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kinematics in the residual limb of an amputee. If you’re excited by the idea of translating cutting-edge neuromechanical research into tangible clinical solutions, we encourage you to apply. Project Objectives
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algorithms. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship The main objective of the proposed Research Fellowship consists in carrying out
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and extended to gradually refine the aero-propulsive and thermo-mechanical loads and improve the overall vehicle performance accordingly. The following objectives are envisaged: Improve the aero
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proceedings, but using popular media is also encouraged. Your qualities The ideal candidate has: a completed PhD in a field commensurate with the research objectives listed above experience/affinity with