Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- Aarhus University
- Aalborg University
- Copenhagen Business School
- University of Copenhagen
- Geological Survey of Denmark and Greenland (GEUS)
- King's College London
- Aalborg Universitet
- Roskilde University
- University of Southern Denmark (SDU)
- Aarhus University (AU)
- RegionH
- Technical University Of Denmark
- Technical University of Denmark
- 3 more »
- « less
-
Field
-
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
-
well as develop or apply coding skills (R/Python) for large-scale data analysis. Your job responsibilities As Postdoc in cardiorenal metabolism your position is primarily research-based but may also involve
-
25 Sep 2026 Job Information Organisation/Company Geological Survey of Denmark and Greenland (GEUS) Research Field Geosciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions
-
for more information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD or equivalent experience in a relevant
-
(lab and field) experiments, econometric applications to register data or survey data, as well as qualitative research methods. PhD project proposals should be based on coherent theoretical arguments and
-
-quality Danish registry data with links to data on researchers’ publications and research funding activities. The ideal candidate will be a recent PhD graduate with a deep interest in the economics of
-
and different industrial outreach activities The candidate has at least the following qualifications - Applicants should hold a PhD in Computer Engineering, Computer Science, or similar - Cyber-physical
-
Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
-
. Desirable qualifications include: • Experience with large epidemiological data and infectious diseases is highly beneficial. • Prior exposure to virological laboratory techniques and/or epidemiological data
-
developing new techniques for analyzing security of open-source components and large-scale applications. Applicants are expected to have a strong background in Programming Languages and Software Engineering