23 ability-"https:"-"https:"-"https:"-"https:"-"https:" "https:" PhD positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
, originality, and relevance of the research proposal academic performance in both bachelor’s and master’s degree studies evidence of a demonstrated ability to produce substantial written work, such as a master’s
-
researchers, healthcare professionals, municipalities, community organisations and patient representatives. The position therefore requires the ability to work independently with multiple tasks while also being
-
journals. • Excellent written and verbal communication skills in English. • Ability to work independently as well as collaboratively within an interdisciplinary and international research team. Who we
-
different feedstock compositions and processing conditions influence performance, and to evaluate the ability of the models to serve as robust tools for dynamic recipe design in real production environments
-
. Excellent written and oral communication skills in English. Strong quantitative, analytical, and problem-solving skills. Ability to work both independently and collaboratively in an interdisciplinary and
-
, computer science, interaction design, applied artificial intelligence, or a related field. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability to acquire
-
. They include high-temperature, high-power applications, including heat pumps, thermal storage, and complex process units, where both physical understanding and intelligent control are essential. What you will do
-
computation. Familiarity with both topics is a definite benefit, but not a strict requirement. The position requires a solid mathematical skill set and the ability to formally analyse and prove properties
-
practice-oriented environments. The ability to navigate these settings is important, as the project involves ongoing interaction with organizations undergoing strategic transition. The successful candidate
-
methods in practice. This includes the ability to design, implement, and critically reflect on computational approaches such as machine learning models, large language models, and/or advanced data