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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Part-Time Suitability: The position is suitable for part-time
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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 3 months ago
unit CICECO - Aveiro Institute of Materials, under the following conditions: 1. Scientific Area: Chemistry, Biochemistry or Molecular Biomedicine. 2. Financing Source: financed by the European Regional
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: This project aims to characterize the taxonomic composition and functional potential of microbial communities present in an aquaponic system, in order to identify the operational conditions that maximize
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refugee status When the work plan takes place, in whole or in part, in foreign institutions, only candidates who can prove permanent and habitual residence in Portugal at the start of the grant are eligible
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based on excimers and neutral bremsstrahlung radiation, in various noble gases and molecular mixtures; d) Data analysis: signal processing and analysis of the results obtained in the previous task. Work
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analysing the influence of the main machining parameters on the dynamic behaviour of cutting, with the objective of identifying instability conditions and supporting process optimization. This work plan is
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experiences obtained previously, as well as an assessment of skills relevant to adapting to the role. This usesadditional methods to create an entry point, including presentation exercises or group dynamics
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if meeting the requirements: a) Portuguese nationals or nationals of other EU Member States b) Nationals of third countries c) Stateless persons d) Beneficiaries of political refugee status When the work plan
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planetary boundaries (a set of at least nine parameters that indicate how far the ES is from its optimal functioning state during the Holocene (about 12,000 years ago). This model is inspired by Matrix Models
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stage. 3. Preferential Factors Proven experience with decision support systems based on knowledge bases and machine learning. Previous experience in machine learning applied to dynamic systems or orbital