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understand their analysis processes and become more effective in choosing the right steps and making the right decisions for their current goal. We’re looking for a PhD candidate to join the Process Analytics
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expected to setup a strong collaboration with one of our partners focusing on plasma modeling. The PhD position is fully embedded in the EPG/CIMlabs group in the department of Applied Physics
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Are you intrigued by coherent structure formation in geophysically and astrophysically inspired flows? Are you interested in the abstraction and statistical description of this process? Are you
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learning) and model-driven (physics-based) methodologies. Our goal is to integrate the precision of computationally intensive atomistic models into macroscopic approaches, while drastically reducing
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alternative, sustainable energy solutions for the future. In this frame, we recently received a grant for two PhD students, one on experiments and one on modeling. The scientific aim of this grant is to
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the fields of databases and data science? We have an opening for a fully funded 5-year PhD project where query languages arising from linear algebra operations are studied, to let data scientists experience
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. The availability of personal target information through social media and personal websites (Open Source INTelligence, or OSINT), combined with the capability to automatically process and synthetize this information
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position, we are looking for an enthusiastic PhD-student with an excellent background in fluid dynamics. Typically, you have an MSc degree in (applied) physics, mechanical or chemical engineering. Prior
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Engineering and Technology). Data science has three clusters: DAI (Data and Artificial Intelligence), PA (Process Analytics), and VIS (Visualization). The PhD position for which this call is, is in the cluster
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making important decisions? Join us in this fully funded PhD project! In the next four years, you will conduct scientific research to inform the design of new intelligent systems that excel at not only