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requirements: Applicants eligible for this call must cumulatively meet the following two requirements: Requirement 1: Be enrolled in a PhD program in the area of Computer Engineering, to be duly proven
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and scheduling problems in the context of port logistics, intermodal distribution networks, or optimization problems of a similar nature; - Experience in mathematical programming models and heuristic
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pluripotent stem cells (iPSCs) will be particularly valued, including the use of iPSC-derived cellular models. Experience in 2D and 3D cell culture, vascular models, bioprinting, and biofabrication techniques
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platform for other courses. Work Plan Scholarship 1) Development of a baseline model of an electrical grid comprising multiple consumers, energy storage systems, and distributed energy resources. This model
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 2 months ago
LevelMaster Degree or equivalent Skills/Qualifications Master's degree in Geography or related fields; Enrollment in a PhD programme in Geography or related fields; Experience in GIS, Spatial Modelling, and
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contributing to Work Package 5 – 'Approaches for seismic design, risk and loss assessment'. The selected researcher will actively collaborate in the numerical modelling of steel storage racking systems, as
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real-time optimization algorithm for a simulated moving bed system to correct possible mismatches between the mathematical model and the real process. The approach to be developed is based on modifier
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of participatory models based on the integration of qualitative and quantitative spatially-referenced data for the co-design and evaluation of nature-based solutions.” Where to apply Website https
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(100%)doctoral scholarship holder in the field of reproductive pathophysiology and toxicology Position You will work actively on the preparation and defence of a PhD thesis of reproductive
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techniques to these domains; Enrollment in a Master. Work plan and goals to achieve For the European cooperation project ENHANCE we are looking for a PhD or Non degree course students to analyze and model