Sort by
Refine Your Search
-
Skip to main content. Profile Sign Out View More Jobs Research Assistant: register data from Statistics Denmark - DTU Management Kgs. Lyngby, Denmark Job Description The Division for Climate and
-
surface structure of single nanoparticles by integrating atomic-scale simulations, statistical methods, and TEM imaging. Exploring the use of Bayesian statistics to understand experimental data and improve
-
developing multiple privacy preserving levels of access to the database. Our ideal candidate holds a PhD in neuroinformatics, data science or a related field, and has a keen interest in developing a research
-
at DTU and will work closely with researchers from the Royal Danish Academy). Qualifications As a formal qualification, candidates must hold a PhD degree at the starting time of the PostDoc. Candidates
-
for modeling and prediction. Our research is based on statistical machine learning and signal processing, on quantitative analysis of digital media and text, on mobility and complex networks, and on cognitive
-
languages (eg, R, Python), implement statistical associative models (eg, GLMM), as well as experienced in simulation development (eg, multi-agent based models). You will also work with stakeholder engagement
-
these signals offer for modeling and prediction. Our research is based on statistical machine learning and signal processing, on quantitative analysis of digital media and text, on mobility and complex networks
-
. The ideal candidate is expected to have a very strong background in machine learning and must have a PhD in machine learning (or a closely related topic). Furthermore, the candidate must have experience with
-
internationally. Engaging in the mentorship and supervision of BSc and MSc student projects, co-supervising PhD students. Contributing to the teaching at the department as a way to improve your teaching portfolio
-
are seeking a candidate with a PhD in food science, food technology, or similar. As part of your research, you will: Use different supercritical CO2 and sub-critical water extraction technologies as well as pre