Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
In line with the commitment to building a theoretical foundation of safe reinforcement learning, we are looking for a highly motivated and talented PhD student to join our team. The position is a
-
investigating potential vaccination strategies for poultry. Methods from classical statistics, spatial statistics, machine learning and simulation modelling may be used as necessary to meet the objectives
-
Apply Job Description Are you interested in learning and extending on state-of-the-art numerical modelling techniques and, at the same time, contribute to improving the listening experience of smart
-
statistical methods; Code implementation and validation for these models in a modelling setting for alternative design and policy analysis. Collaborate with researchers from machine learning and transportation
-
relevant engineering field or computer/data science and is motivated to specialize in electrical power systems. Candidates are required to have: Excellent grades in your master program Dedication and the
-
learning and interested in utilizing AI to generate images, such as diffusion models? Do you also have a strong desire to make a tangible impact on society? If so, this PhD opportunity may be the perfect fit
-
their skill and bias and the difficulty of specific lesions. Your primary tasks will be to: Research on AI models using metric learning for classification and measuring similarity of samples. Research
-
electrolyte equations of state for selected processes; (5) investigating machine learning methods for electrolyte thermodynamic calculations. You must have a two-year master's degree (120 ECTS points) or a
-
Uncertainty Quantification for Deep Learning - DTU Compute Kgs. Lyngby, Denmark Posted on 03/20/2024 Trending Do you want to a career in machine learning research, and are you motivated to work on uncertainty
-
fiber-optic/quantum communication. Experience with machine learning, digital signal processing and experimental work is a plus. The project goal is to explore reinforcement learning to realize feedback