48 engineering-computation "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Nature Careers in France
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». This program aims to support outstanding early-career scientists in the field of cardiovascular research in France. Objectives of the program: o The goal is to offer young scientists the opportunity to create
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Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
.), along with a dynamic and stimulating work environment. Searched Profile • MSc Level in data science, applied mathematics or biomedical engineering. • Motivated by mathematical modelling and AI • Eager
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Research axis of the 3IA: AI for Computional Biology and Bio-inspired AI The laboratory Benoît Miramond is Full Professor in Electrical Engineering at LEAT laboratory from University Côte d’Azur
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, genomics, epigenetics, RNA biology, computational biology and AI, cell biology, developmental biology, cancer biology immunogenetics and infectious diseases. The IGH welcomes outstanding candidates at all
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part of the Faculty of Science, Technology and Medicine of the University of Luxembourg. DLSM is coordinating all teaching programmes in life sciences, medicine, nursing and midwifery. Research
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this technology for capturing and processing the pulse of a city. In particular, in many applications, DAS suffers from the multi-source aliasing problem and low-frequency noise, especially in noisy environments
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technology and in the field of monitoring is also required. Therefore, information on relevant experience must be included in your application. Relevant experience in leading scientific working groups and
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, and computational data extraction Quantitative and spatial analysis of historical sources Travel accounts as historical source for environmental questions Your profile Master's degree in History
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machine learning or theoretical biophysics or computer science Conditions. Postdoc position funded by Centre Inria at Université Côte d’Azur, France. The position is located in Sophia-Antipolis, French
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. Bouveyron, P. Latouche and R. Zreik, The Stochastic Topic Block Model for the Clustering of Networks with Textual Edges, Statistics and Computing, vol. 28(1), pp. 11-31, 2017 - C. Bouveyron, M. Corneli, P