Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Are you interested in working with sensitive health data and making a real impact on how it can be used safely and responsibly? At the Center for Clinical Data Science (CLINDA), Department
-
of novel methods to decompose the heterogeneity of psychiatric disorders, particularly ADHD, using large-scale genetic, imaging, and epidemiological data from Denmark and other countries. You will apply
-
time or other disturbances. If these problems remain unidentified, they can result in incorrect clinical decisions and poor patient management. In this PhD project, you will collect experimental data
-
theory development with comparative measurement, large-scale data collection, observational analysis, surveys, and experiments. It covers Denmark, Estonia, Germany, India, the Netherlands, Switzerland, the
-
to analyze and learn from the delivered care and outcomes. Here, AI, particularly NLP, has great potential to extract, structure, and analyze clinically relevant information from these unstructured narratives
-
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
-
experience in Molecular Microbiology, Microbial Genomics/Metagenomics, Culture-based Microbiology, Bioinformatics or Quantitative Data Analysis is an advantage; applicants are not expected to be experts in all
-
-scale Microflora Danica dataset combined with samples taken from sites. You will conduct sampling, and apply experimental methods such as metagenomics and metatranscriptomics, linked to soil process data
-
on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
-
framework of the project. Depending on the research question, possible methods could include qualitative fieldwork, interviews, case studies, surveys, experiments, or other relevant forms of data collection