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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
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The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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. For more information regarding the position or details of the project, please contact Chloé B. Steen (chloebs@uio.no ). Qualifications Completed PhD in computational biology, bioinformatics, computer
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together University of Helsinki research across nine different units, to address challenges relating to the production, processing, distribution and use of food and drug products without compromising human
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Virtual laboratory to predict the ability of a fluctuating biomass to satisfy a material use-VARIOUS
be taught within the various courses at the ECN and NU with a 50/50 distribution between the engineering (ECN and NU Polytech) and Master’s 2 courses. Concerning the ECN, it would be desirable
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, copyrighted, or biased. By studying brain data recordings and building computational models that mimic real populations of neurons, the project aims to uncover active unlearning: how the brain learns
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Testing and Experimentation Facility (TEF) for the energy field. Specifically, it leverages AI and cutting-edge infrastructure to optimize EV charging and energy systems. By integrating distributed energy