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Position Data Science and Artificial Intelligence in Cardiac Electrophysiology Our goal: the development of multimodal prediction models to detect and predict atrial fibrillation (AF) and other clinically
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apply modern data science tools. Strong organizational skills and a collaborative mindset: the ability to work effectively with international collaborators. Excellent communication skills and the ability
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-position-data-science-a… Requirements Additional Information Website for additional job details https://www.academictransfer.com/363375/ Work Location(s) Number of offers available1Company
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personality: You hold a PhD in synthetic organic chemistry. Previous experience working with organic synthesis, total synthesis, electrosynthesis and catalysis is required. Proficiency in data analysis and
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computer science of quantum information and computation. Terms of Appointment All appointments are granted as renewable 1-year contracts up to 3 years duration by mutual agreement with the advisor. Appointments
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OmegaLab at KAUST is looking for a researcher to help drive projects on doped conjugated polymers and organic electronic materials. The main need is a strong materials-science or applied physics profile
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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Title: Postdoctoral Research Associate - Materials Science & Engineering Employee Classification: Postdoctoral Research Assoc Campus: University of North Texas Division: UNT-Provost SubDivision
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for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of new computational techniques specifically
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Do you have passion for FAIR and open data, and a drive to improve the data landscape? Do you enjoy solving both technical and societal challenges? The Intelligent Data Engineering lab (INDElab) is