112 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" scholarships in Denmark
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. More information about DESS can be found at: https://www.cs.aau.dk/research/Data-Engineering-Science-and-Systems How to apply Your application must include the following: o Application, stating reasons
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project’s principal investigator, Associate Professor Lars Rohwedder, an internationally recognized expert in the areas of approximation algorithms and parameterized algorithms, see https://larsrohwedder.com
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at the University of Southern Denmark. The PhD candidates will be supervised by Dr. Rhitu Kotoky and Dr. Konstantinos Anestis in close collaboration with Prof. Amelia-Elena Rotaru. The two PhD projects will address
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understanding of KB development Working with specific applications in robotics and intelligent systems Contact Dr. Aparna Varde, Full Professor, Centre for Software Technology, SDU Vejle (email: apva@mmmi.sdu.dk
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Environmental Science & Engineering Expertise in model compression techniques like quantization and pruning Successful development of apps and websites with real-world deployment Contact persons: Dr. Aparna Varde
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Professor Rajan Ambat, Department of Civil and Mechanical Engineering, DTU, E-mail: raam@dtu.dk Dr. Kapil Kumar Gupta, Department of Civil and Mechanical Engineering, DTU, E-mail: kkgup@dtu.dk Application
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resources, like source code, hardware design, videos, etc. A 2-minute video of yourself explaining why you are a fit for the position You may apply before obtaining your master's degree, but you cannot begin
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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment Your application will be assessed by Dr. Apurv Dash, Prof. Poul Ægidius Norby and Prof. Wolff-Ragnar
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, or equivalent) in Public Health, Medicine, Pharmacy, Epidemiology, or a related discipline • Strong interest in epidemiological methods, data analysis, and coding (e.g., R, Stata, or similar) • Interest in