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-Physical Energy Systems The PhD position focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be
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. The project involves the development and modelling of hydraulic systems, with particular emphasis on energy-efficient system architectures and appropriate component selection. A key aspect is to incorporate
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, and internalization studies. Plan, perform, and analyze preclinical biodistribution, PET, and SPECT imaging studies in mouse models. Investigate pharmacokinetic and pharmacodynamic properties of novel
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and wishes to expand their skill set into protein design and modelling. They should be comfortable working at the interface of disciplines, in a international environment, and be excited by the prospect
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PROJECT DESCRIPTION Research aims at developing a wind-farm control emulator by coupling large-eddy simulations and aeroelastic turbine models with meso-scale weather models to run realistic wind-farm
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Science, with strong skills in experimental techniques and a keen interest in modeling. He/She must demonstrate high motivation, experimental rigor, the ability to work in a multidisciplinary team, and
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whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at
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3rd August 2026 Languages English English English We are looking for a PhD Candidate in Multi-scale, -physics, -fidelity wind modelling for wind farms Apply for this job See advertisement This is
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signaling concepts We will develop artificial cells that sense disease-relevant signals and generate regulated outputs, with a long-term focus on adaptive responses in tumor-microenvironment models and
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on: https://www.dges.gov.pt/pt/pagina/reconhecimento Workplan and the objectives to achieve: The work to be carried out consists of the development and experimental validation of control and estimation