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year: €20,364.96 2nd year: €20,364.96 3rd year: €25,456.20 4th year: €25,456.20 Eligibility criteria All the candidates who cannot prove the required academic degree will be immediately withdrawn from
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, technology providers, municipalities, and other public and private stakeholders. The aim of the PhD project is to examine how strategic development unfolds in transitioning port contexts, with particular
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across Canada and/or internationally to represent NRC. Language requirements English Information on language requirements and self-assessment tests Assessment criteria Candidates will be assessed
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, such that we can model systems consisting of a wide range of varying materials. These extensions will be employed and tested on actual measurement data as a benchmark. The project will involve mathematical
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translational model based on patient-derived tumour organoids that reproduce the realistic microanatomy of the tumour. These organoids will be used for translational testing of nanotherapeutic activity
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mechanisms, and analyze complex datasets to connect microscopic processes with macroscopic performance. Close collaboration with project partners will support the development and testing of materials and cell
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specific, the fellowship will focus on digital workplace transformation and seek to examine the interplay between work practices and digital transformation, and how this can be facilitated and managed
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certificates and official grading system (if available), supported by scanned copies of relevant certified documentation English language proficiency test results (if applicable) Names and contact details of 2
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
fish farming practices in aquaculture, targeting commercialization, as well as the biomedical industry, through zebrafish. The contracted researcher will be responsible for testing and demonstrating
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moulding, and you will test specific mechanical and physical properties in order to generate high-quality data for training and validating Machine Learning models. You will use these models to analyse how