Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
: Implement and optimise deep learning–based models for the quality control and real-time assessment of concrete constituents within in-line production. Develop and train predictive algorithms based
-
offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient
-
describing the effect of conditions on stability. Testing the model in standard stirred tank apparatus Refining the model to allow predictability between different types of apparatus. Defining an algorithm
-
magnets that is able to generate a strong magnetic field, while at the same time being easy to manufacture, and cost-efficient. We aim to achieve this by using a novel computational approach that should be
-
communication infrastructure design and evaluation, reliable communication technologies, protocols and algorithms, internet of things and wired/wireless communication at all network layers. The candidate should
-
Job Description The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more
-
will be an asset. The PhD will be supervised by Professor Helene Friis Ratner and conducted as part of the Algorithms, Data and Democracy project, founded by the VELUX Foundations. For more information
-
will have the opportunity to engage in pioneering research, collaborate with a large, dynamic and multidisciplinary team, and advance the field of quantum computing through innovative algorithms and