Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
. Qualifications: Background in data science Interest in physics-informed machine learning Strong written communication skills Enthusiasm for interdisciplinary collaboration Strong team spirit Experience with metal
-
flexible hours, social activities throughout the year both at the department level and in each Section. We are inclusive and have respect for individuals, communities, and cultures. Our work culture is
-
general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the candidate will be made by Professor Lars Jelsbak and Post Doc Carlos Neftaly
-
horizons for advanced technologies. Responsibilities and qualifications The PhD project will focus on the design, synthesis, and characterization of new types of metal-organic network structures, which
-
-motivation to learn. Be able to work well and communicate expert knowledge in an interdisciplinary team. Have the ability of working independently. Have a strong sense of responsibility. Research environment
-
of practical use cases with real-world releva Appl Deadline: 2025/08/01 11:59PM (posted 2025/06/27, listed until 2025/09/01) Position Description: Apply Position Description Centre for Quantum Mathematics (QM
-
be in English or in a Scandinavian language. Applicants WHO are planning to complete a doctoral thesis in English and who do not have English as a first language or WHO have not completed
-
communication skills and an openness to interdisciplinary teamwork Solid English capabilities are required for writing documentation and for communication with colleagues in a multinational setting. You must have
-
. Variational Autoencoders, Normalized Flows, Generative Adversarial Networks) Have experience in developing fast algorithms for hard combinatorial optimisation problems. Have some knowledge about stochastic
-
communication skills in English, both written and spoken is able to work independently and take responsibility for the progress and quality of projects. You must have a two-year master's degree (120 ECTS points