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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
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& ecosystem structure under rising biosphere novelty. The work will integrate ecological, demographic, environmental and remote-sensing information to develop scenario-based forecasts of European vegetation and
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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
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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
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(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
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-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
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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
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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
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. Desirable qualifications include: • Experience with large epidemiological data and infectious diseases is highly beneficial. • Prior exposure to virological laboratory techniques and/or epidemiological data
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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