Sort by
Refine Your Search
-
achieve this, you must have prior knowledge in the following topic: Wind farm flow modelling Machine learning Python scientific programming Excellent communication skills, both in writing and oral
-
Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student
-
. Experience with simulation tools, including Isaac Gym, Isaac Sim, Aerial Gym. Experience with ROS, and especially real-life aerial robots. Experience with open-source tools for deep learning, computer vision
-
defects. The charge transport will be implemented stochastically to mimic nature. A significant focus of the project will be to apply machine learning techniques to optimize the model and enable charge
-
teaching courses and co-supervision of BSc and MSc. Qualifications MSc graduates with a background in either engineering, mathematics, computer science, computer engineering, physics, sustainable energy
-
experience within the field of optimization and machine learning You must also fulfill the requirements for admission to a PhD program at DTU. You must have a two-year master's degree (120 ECTS points) or a
-
science, machine learning and other methods. Within the section, you will be working within a diverse team of scientists at multiple levels of their career. Approval and Enrolment The scholarship