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Field
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limitations —driven to explore solutions that go beyond what verification alone can achieve. This PhD project focuses on developing analysis and program repair techniques that enhance software interoperability
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dynamics of paralogue proteins through immunoprecipitation, ChIP-seq and-or CUT&RUN techniques. Collaborate with interdisciplinary team (e.g. bioinformaticians, clinicians and facilities) and maintain
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. The position is available with a flexible start date to be agreed upon. The PhD candidate will join the Autonomous Multi-Robots Lab at the Cognitve Robotics Department and will be supervised by both Javier
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join the Autonomous Multi-Robots Lab at the Cognitve Robotics Department and will be supervised by both Javier Alonso-Mora and Bilge Atasoy. Thanks to that synergetic collaboration, the PhD candidate
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grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations
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grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations
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application will receive fair consideration. Challenge. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to
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faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies
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and control with unprecedented sensitivity. You will carry out pioneering research at the intersection of two distinct areas of physics. You will develop a chip-based levitation system that can be
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areas of physics. You will develop a chip-based levitation system that can be embedded in state-of-the-art electron microscopes—providing a unique platform to detect electrons after interacting with