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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | 3 days ago
particularly relevant, although it is not mandatory. Experience with experimental animal models, molecular and cellular biology techniques, stereotaxic procedures, metabolic phenotyping, imaging, transcriptomics
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position within a Research Infrastructure? No Offer Description PhD student in nature-inspired biocarbon–enzyme composites for PFAS remediation The Department of Earth Sciences is Sweden"s most comprehensive
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different feedstock compositions and processing conditions influence performance, and to evaluate the ability of the models to serve as robust tools for dynamic recipe design in real production environments
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established chemistries where available and development of new processes when needed Characterization of the deposited films in terms of composition, crystallinity, morphology… using a range of spectroscopic
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: i) Develop computer vision systems in the context of agriculture; ii) Develop computational systems iii) Promote the dissemination and exploitation of the results generated in the project. 4
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available and development of new processes when needed Characterization of the deposited films in terms of composition, crystallinity, morphology… using a range of spectroscopic, microscopic, X-ray etc
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gasification Experience with lab-scale reactor design, construction and operation Experience with experimental work Experience in Computational Fluid Dynamics (CFD) modelling Personal qualities In order to be
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, construction and operation Experience with experimental work Experience in Computational Fluid Dynamics (CFD) modelling Personal qualities In order to be able to complete a doctoral degree, you need to be able
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of the Foundation for Science and Technology (RBI-FCT), by the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all
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Web of Science in the required fields of knowledge; c) Have experience in the development of optimization models and methods, as well as their implementation and testing. 5. Formalization