30 affective-computing-"https:"-"https:"-"https:" PhD positions at University of Southern Denmark
Sort by
Refine Your Search
-
research settings. Contact information For further information about the PhD positions or the SDU Center for Energy Informatics, please visit https://www.sdu.dk/en/energyinformatics Informal enquiries may be
-
Odense. The research project—funded by the Velux Foundation—examines when exposure to negative news informs people about important societal issues and when it negatively affects mental well-being and leads
-
the past decade. Although many experience improvement in their symptoms, we still know far too little about how these medications affect children and adolescents in the long term. In particular, there is
-
description The PhD position is funded by a grant from the Novo Nordic Foundation to investigate the impact of early exposure to PFAS on puberty timing and neurodevelopment (assessed by neuropsychologists
-
infrastructure (electricity, district heating, biomass conversion facilities, etc.) Collaborate with local stakeholders, Complete required PhD courses (30 ECTS) and research stay abroad, Publish in high-impact
-
. The environmental medicine group study the impact of early life exposures to environmental chemicals. In particular per- and polyfluoroalkyl substances (PFAS) is a main focus area, with studies of the adverse health
-
investigates how AI affects both news production and consumption and assesses the adequacy of existing legal frameworks in addressing these transformations. Read more about the project HERE . Employment can be
-
Job Description A PhD position in computational pharmaceutical science is available at the Department of Physics, Chemistry and Pharmacy (FKF) at the University of Southern Denmark (SDU). The
-
the highest international standards, demonstrated by publications in leading journals, presentations at global conferences, competitive external funding, and significant societal impact. CPop is also committed
-
computational challenges. This PhD project will investigate novel registration strategies for ultrasound-derived musculoskeletal point clouds. The work will focus on developing geometry-aware alignment methods