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of gene therapy manufacturing and process innovation. The project focuses on the development and optimization of scalable bioprocesses for viral vector production and downstream purification and
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. This project explores the use of laser-printed metal chalcogenides on flexible substrates to develop high-performance thermoelectric harvesters and coolers for wearable applications. In this project, the postdoc
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simulation methods and scientific software development. The successful candidate will contribute to research and development on: EMT simulation of future power systems. Simulation methods for converter
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developing generic tools that take a declarative problem description and automatically compute an optimal solution to it. Often, users specify their problem in a high-level, human-understandable formal
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researcher to develop next-generation methodologies for control design and dynamic stability assessment of converter-dominated AC, DC and hybrid AC/DC systems. Research topics include converter control design
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interpersonal phenomena. The aim of this position is to develop novel methods to study the interpersonal nature of emotions in the context of daily life using Experience Sampling Methods and/or apply such methods
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of observed massive close binaries with one or more pulsating components. The aim is to use their measured asteroseismic properties, such as internal rotation and magnetic fields, to develop new modelling tools
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closely with prof. Roel Leus on advancing the state of the art in decision diagram-based methods for combinatorial optimization, including the development of new theory, algorithms, and high-impact
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antiviral target-discovery by uncovering this terra incognita. To that end, we developed high-throughput, multiplex, high-content multiparametric phenotypic antiviral assays. These allow to screen hundreds
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stages of stellar evolution.The postdoctoral researcher will: Derive mass-loss rates and wind properties from high-quality molecular line observations Apply and further develop the group’s radiative