Sort by
Refine Your Search
-
: //childresearch.au.dk/en/about-us ). The right candidate(s) will be employed at the relevant institute (Department of Political Science, Department of Psychology and Behavioural Sciences or at School of Communication and
-
. The ideal candidate thrives in interdisciplinary settings and is eager to contribute to method-driven research with real-world impact. Required qualifications include: PhD in electrical engineering, computer
-
. The candidates must hold a PhD in Chemistry/Physics. Experience in data framework development, kinetic/thermodynamic modeling, and collaborative interdisciplinary research. An education history in chemical
-
competences You have academic qualifications at PhD level, for example within one or more of the following areas: Neuromuscular research, molecular muscle biology, transcriptomics or gene regulation. Further
-
, including robotic control, mechanics of materials, fluid mechanics and biological systems, in collaboration with other researchers and companies. Your profile Applicants should hold a PhD in Computer Science
-
should have a PhD in, preferentially anaerobic, microbial sciences, microbial electrochemistry, or related bioengineering disciplines with a focus on anaerobic metabolism, electromicrobiology
-
in international conferences and journals. Your profile The ideal applicant should possess a PhD in Mechanical Engineering or a closely related field. It is anticipated that applicants will bring
-
research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in soil science, agronomy or similar Collaborative skills and ability
-
scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in microbial ecology, plant-microbe interactions, fungal biotechnology or similar Collaborative skills and
-
@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python