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microbial metabolites and its effect on chronic kidney disease and cardiovascular complications, using an in vivo model of chronic kidney disease. Responsibilities and qualifications As a PhD student, you
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processes (e.g., application content, assessments committees’ refiguration and process) and 2) the outcome of evaluation and selection for diverse participants. The research will leverage artificial
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) therapy on the biology of γδ T cells and how can we use this knowledge to help us predict the success of therapy and prevent the development of side-effects. Position 1 will focus on the cellular and
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master problem in coordination with one or more subproblems, each responsible for generating promising variables based on the current master solution. The approach is particularly effective in applications
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and systems. Your PhD project will result in scientific publications and experimental validation of your results. You will present at international conferences as part of your research training, and you
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CMOS implementation of event-based processing for edge-AI applications. The project will explore: SSM formulations adapted to spiking dynamics SSM implementation for time-series classification
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for effective tool wear management. This position offers unique opportunities with respect to high level research, training and innovation within manufacturing engineering, in an exciting combination of academic
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PhD Scholarship in Biodiversity changes of marine flora and fauna associated with ecosystem resto...
, the knowledge about the effect of these actions on flora and fauna biodiversity is still limited. The research of the candidate will focus on the changes in ecological conditions for flora (seagrasses
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PhD fellowship/scholarship - Intercropping of cover crops and vegetables to mitigate nitrate leac...
the effect of species and management choices (e.g. sowing time) for complementary resource use and environmental and climate impact. The focus will be on cover crop and vegetable growth above- and belowground
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designs, building effective and conceptual models to inform our theoretical understanding, and developing code and theory frameworks to address new topological phenomena. Depending on the project’s results