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Foundation. The project focuses on management of volunteers at nursing homes. The overall purpose of the project is to develop and test the impact of a training intervention designed to upskill the ability
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and maintenance prediction and integrate analytics into energy and battery management systems. • Collaborate with industrial partners on validation through hardware-in-the-loop testing and real-world
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qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four
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Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a
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electronically by clicking APPLY NOW below. Profile We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience: PhD in HCI, Computer Science
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software skills Proven experience with CFD automation, e.g. using PyFluent or similar Python APIs for meshing, solver control, post-processing and data management. Solid experience programming in Python
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collaboration with local water utilities and software developers Integrate digital urban water twins with data, applying methodologies for data assimilation, parameter estimation, and quantification of model
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be in close collaboration with our EUROfusion partners under the supervision of Xuping Zhang. Your profile Applicants should hold a PhD in Robotics with good experiences in dynamics and control
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structures. You will work closely with computational researchers to gather data, evaluate AI predictions, and design experiments. You will work in a team with 7 PhD-students and 4 postdoctoral researchers and
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of archetypical mitigation pathways with their differential deployments of GGR and SRM, and 6) Policy options and governance. Qualification requirements Applicants for a postdoctoral position hold a PhD degree in