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livelihoods. FLASH comprises seven work packages (WPs), coordinated by different consortium partners, with a total of six PhD positions and one postdoc (Figure 1). While your primary base will be in Bangladesh
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we address the following steps/questions: Characterize the molecular structure and molecular distribution of suitable polymer pyrolysis waste streams to aid modelling of filler-matrix interfaces
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PhD candidates, postdocs, and faculty members. Our group focuses on understanding and mitigating corrosion processes, and on the development of electrocatalysts and electrochemical sensors through
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close collaboration with the Netherlands Defence Academy. The CTE group is a dynamic team of researchers, including PhD candidates, postdocs, and faculty members. Our group focuses on understanding and
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and work experience; a short letter of motivation; a link to your PhD thesis; the name and email address of a reference who can provide a letter of recommendation, e.g. the PhD or postdoc supervisor
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with several PhD students, postdocs and staff members. You will be working on a combination of topics in a collaborative environment, including cell biology, muscle physiology and exercise physiology
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new generation of perceptual foundation models by contributing advanced perceptual pre-training and fine-tuning algorithms. What you will do You will carry out research and development in the areas
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | 2 months ago
Research Infrastructure? No Offer Description Topic background A proper functioning drinking water distribution network is of major importance for society and keeping this network optimally operational is
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and email address of a reference who can provide a letter of recommendation, e.g. the PhD or postdoc supervisor. Due to Dutch legislation, the UvA is for non-scientific positions obliged to recruit
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-tuning algorithms. What you will do You will carry out research and development in the areas of perceptual foundation models, using advances in deep machine learning and computer vision. The goal is to