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appropriate conditions, it provides a confidence set (credibility set if prediction is Bayesian) for a multivariate estimate with statistical coverage guarantees. This PhD project aims to develop new CP methods
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. Both a strong academic track record and a genuine interest in conducting research are essential to qualify for the position. The candidates Master’s thesis, academic track record, and other application
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annealing). Interest and ability to work in interdisciplinary research. High proficiency in written and spoken English. Solid track record of peer-reviewed publications. Suitability for the position
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to the qualification requirements. Applications lacking this information will not be considered. Applicants must hold a PhD in life sciences, natural sciences or medicine, with a proven track record of cardiac research
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-processing (e.g., ParaView, Insight, NetCDF visualization) of simulation data. An emerging track record demonstrating publications in peer-reviewed, relevant journals. Excellent communication and English
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will be attributed to individual suitability and qualifications. Experience with JSON schemas, DevOps (deployment using Docker on Kubernetes), and use of databases for tracking requests and progress
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. A strong track record in peer-reviewed publications. Interest in writing and contributing to grant applications. We can offer A great opportunity to work in a diverse EU project with world-renowned
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lab-equipment performance. Keep track of and log laboratory use (lab booking system). The position may be assigned other tasks if needs and interests of the Department’s activities so require
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sciences or medicine, with a proven track record of cardiac research Previous experience with molecular cardiology, viral transduction, cell transfections, animal models, immunoblotting, qPCR, cardiomyocyte
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academia. The Department of Civil and Environmental Engineering (IBM) at NTNU is looking for a candidate for a full time PhD position for 3 years. You will join the Road, Rail and Transport group at IBM, a