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the interview are as follows: a) Technical and scientific knowledge in the areas of research at CICS.NOVa.UÉvora in which the scholarship is available (50%): 1. No knowledge – 0 2. Reasonable knowledge – 50 3
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Instituto Superior de Contabilidade e Administração do Porto do Politécnico do Porto | Portugal | 10 days ago
, proactivity, responsibility and ability to work in a team; d) Proficiency in English as a working and communication language; e) Mastery of quantitative and qualitative research methodologies; f) Knowledge in
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other areas than those mentioned above – 0 points d) Knowledge and experience in: i) analytical methods (SPE, QuEChERS, DLLME) to quantify contaminants using GC-MS/MS and/or LC-MS/MS; ii) statistical
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typical residential setting) based on human-provided instructions. This includes the development of an interface to supply the robot with prior knowledge about the environment. The fellowship holder will
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ASSOCIACAO ISCTE CONHECIMENTO E INOVACAO - CENTRO DE VALORIZACAO E TRANSFERENCIA DE TECNOLOGIAS | Portugal | 9 days ago
Infrastructure? No Offer Description The Centre for Research and Studies in Sociology (CIES-Iscte) at Iscte – Knowledge and Innovation is offering one (1) Research Grant for a PhD Student in the scope
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than 14/20 (1 point); B. Knowledge of Interactive Systems Design, Cyber-Physical Systems, Predictive Maintenance Systems, Automation, Machine Learning and Artificial Intelligence, Sensor Networks
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 4 days ago
two years in that type of grant, whether consecutive or intermittent. Candidates are expected to have scientific and technical knowledge on the following eliminatory parameters: Genomic DNA extraction
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regulatory networks in pathogenic yeasts, with impact on their pathogenesis, in order to strengthen knowledge regarding less well-studied yeast species. From the bioinformatics standpoint, the work will focus
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or related field;* Solid knowledge in machine vision and deep learning (e.g., TensorFlow, PyTorch, OpenCV); Experience in Python programming (focus on libraries for data analysis and AI); Previous
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. Specific Requirements Preferred requirements: Programming skills, namely in the domain of the R language; Good knowledge in the application of statistical methods applied to analytical epidemiology: survival