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electrical or mechanical engineering Strong mathematical skills Experience in modelling energy systems Very good knowledge and experience in programming (e.g. Python, Matlab, C, C++) Fluent in written and
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). Minimum Portuguese Language Level is A2 (preferential) Fluent in English, written and spoken (Mandatory); Good communication and interpersonal skills. Candidates who have obtained the degree abroad must
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new and exciting phase of its development as part of its strategic priorities for the next ten years. Adopting a new higher education model based on the concept of Syntegrative Education (SE), XJTLU is
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using image processing and physical modeling Expansion of the mechanistic understanding of bubble coalescence with the aid of a microchannel Cooperation and expansion of the evaluation software in
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Do you excel in numerical modelling to quantify hydrological processes and pollutant transport at catchment scale? In both research and science-based advice? Then apply to the open position as
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supercomputer (https://dcai.dk/gefion ). Downstream finetuning of models for various radiotherapy related tasks (e.g. image segmentation, dose prediction) will also be a part of the study. As part of the position
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-collection costs while maintaining validity for marketing and opinion research. Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented
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); Fluent in English (spoken and written); Basic knowledge of innovation, business models and co-creation methodologies. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | 2 months ago
representations of the vascular trees (and hence propose modality agnostic detection/characterization methods). • A full synthetic model of the vasculature will be exploited to train the neural networks (see
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dynamics, kinematics, acoustics/vibrations, fluid–structure interaction, control, or other mechanics-driven domains. Experience with applied computational methods and machine-learning–based modeling