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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
: Imaginaries, Interventions, Interfaces” funded by Independent Research Fund Denmark – Culture and Communication. The postdoctoral researcher position is a full-time and 1-year fixed-term position. The position
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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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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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
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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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-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus on implementing
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statistics, AI and machine learning methods, including demonstrated experience in analysing multiple global change drivers, e.g. land use intensity, climate change, nitrogen deposition. Proven capability
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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus
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behavioural outcomes to in vivo PET imaging and molecular measures, the project aims to clarify the role of GPR6 in dopamine-related brain function and its potential as a therapeutic target for depression
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the opportunity to contribute to an internationally competitive research programme at the interface of proteomics technology development, regulatory protein biology, and cancer research. Expected start date and