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English in ISI indexed journals. b) candidates must have skills and previous experience in the following areas: i) experience in Finite Element Method modelling; ii) railway system modelling (vehicle and/or
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- ST-e.Biofilm_PhD 2_Set and including the following pdf documents: Motivation letter, Copy of certificates evidencing academic degree (referring the classification of each separated or integrated degree
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, foreseen in the application: 1-Development of the SUPERB framework 2- Definition of building classes and numerical models for physical vulnerability assessment 4-Definition of baseline data reflecting
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methods in Social Sciences, with proficiency in data analysis procedures such as visualisation, differential analysis, mixed regression models, structural equation modelling, and supervised and unsupervised
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: Motivation letter, Copy of certificates evidencing academic degree (referring the classification of each separated or integrated degree), detailed Curriculum Vitae; Declaration on honor that the candidate
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6. of this Notice. Preferred factors: Knowledge in machine learning and programming (Python), deep learning (e.g., tensorflow, pytorch) and time-series modeling in marine ecology applications
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will exploit multidisciplinary consortium expertise spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine
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the previous point and the documents proving the conditions in this Notice, namely: a) Application for Application addressed to the President of the Selection Jury (model attached); b) Copy of doctoral
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the terms defined in the attached model. 16.4. The application is accompanied by the documents proving the conditions in this Notice, namely: Request required in point 16.3, above; Copy of doctorate
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 2 months ago
vitro models employing techniques in molecular biology, functional genomics, cell culture and biochemistry; (vi) experience in methods used in fish behavioural analysis; and (vii) capacity to work in a