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out wet lab work which will feed and support your in silico research, and will be supervised by Prof. Spits – an expert in aneuploidy in early development – and bioinformatician Prof. Olsen. You’ll have
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mobility of migrants shape local populations? Developing a spatial microsimulation model of population dynamics with application in infectious disease modelling (DynaMIGs)”. DynaMIGs is a four-year
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consumption while guaranteeing optimal power production. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop graph-based
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responsible for around 10 million deaths each year worldwide. The burden of cancer is expected to continue to increase over the coming decades. Therefore, developing effective methods for the characterization
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, funded by the European Commission’s Horizon Europe programme. You will be based in Brussels, Belgium and will enroll as a PhD student at Vrije Universiteit Brussel (VUB). The main line of research will be
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. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop machine learning surrogates of wind energy systems. As newer
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the following elements: Abstract (max 250 words) The abstract of a PhD research plan should serve as a concise summary of the key elements of your proposed research. It should provide an overview
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data through advanced ex-situ measurement technologies. The group’s ambition is to develop a robust framework for capturing high-quality data from their in-house hybrid additive-subtractive research
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-house database of experimental real-world data enabling large-scale validation of developed algorithms. Wind turbine drivetrains are critical components, and their failures can lead to significant
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performance and environmental awareness. To this end, you develop an internationally recognised research programme in thermodynamics and flow mechanics, with a focus on sustainable propulsion (aerospace