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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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performing computational simulations and technology transfer, will be valued. 8. Pursuant to article 5 of RJEC, the selection is to be made based on the evaluation of the scientific and curricular career
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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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: 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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background, detailed Curriculum Vitae with transcripts, Copy of the relevant certificates (Copy of the Degree Certificate(s), if applicable); and proof of enrollment (or proof of acceptance) in a higher
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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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regardless of the used technology, on the mechanical properties. In silico analysis by computational fluid dynamics analysis. I.4. Gross monthly wage: 2.351,53€, corresponding to the 1.st position, wage level
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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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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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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 15 days ago
to be carried out focus on the daily operational activities of home hospitalization units, with the goal of developing optimization models and algorithms to support the planning of routes, schedules, and