Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
of the networks they belong to - can phase separation by itself generate oscillations - and what are the functional consequences for DNA repair and for the decisions cells make about their own fate? The precise
-
of personhood and identity. Yet, AI technologies (e.g. large language models and deep neural networks) challenge forgetting as the technologies ‘never forget’ and challenge secrecy by collecting data and
-
PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
collaborators, providing opportunities to develop a broad scientific network and gain hands-on experience with complementary expertise and facilities. Responsibilities and qualifications As a PhD candidate, you
-
can be used as a practical tool to identify and adjust recipes that, for a given machine and processing window, fulfil defined target criteria. Building on existing evidence that Machine Learning can
-
of analysing data using both qualitative and quantitative methods are desired. Applicants are expected to understand certain qualitative and statistical software (e.g. NVivo, SPSS, Stata). Experience with data
-
the hiring process. The technical development of the virtual reality set-up is handled by project partners. Your role will be to help design and carry out experiments using AI and VR, define conditions and
-
in complex biological networks e.g. food webs, forming the foundation of natural ecosystems. Yet, we lack the tools to predict how these networks change in time and space. This is especially critical
-
, including postgraduate teacher training a mentoring programme support to develop scientific networks and to secure interdisciplinary research at the highest level As part of the Aarhus University Tenure Track
-
well as to broader audiences beyond academia. As part of their research training, PhD students should develop a clear and well-defined research profile that demonstrates academic maturity and the ability
-
, bioinformatics, pathogen genomics, epidemiology, public health, and software infrastructure. The project will also interact with GPAP collaborators at DTU, Statens Serum Institut, Imperial College London, and