85 model-driven-engineering-"Data-driven-Materials-Modeling" Postdoctoral positions in Denmark
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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grant project “Driving innovation in crop resilience through Comparative QTLomics.” The selected candidate will contribute to five main objectives: 1. Apply large language models (LLMs) to collect
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Engineering. The position is closely connected to our activities within developing high-fidelity models that capture the coupled thermal, chemical and electrochemical phenomena governing system performance
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14 Aug 2026 Job Information Organisation/Company Technical University Of Denmark Department Department of Civil and Mechanical Engineering Research Field Physics Researcher Profile Recognised
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research areas, including RNA Biology and Innovation. The position will be hosted in the Developmental Multi-Omics Lab (Peter Zeller). The lab combines single-cell multi-omics technology development with
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postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data. The project is funded
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Do you enjoy finding solutions to integrate and analyse large data sets of biodiversity dynamics and their drivers? Are you creative and able to couple various data flows and integrated modelling
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and available for a period of 18 months, from October 1, 2026, or soon hereafter. In electronic engineering, Aalborg University is known worldwide for its high academic quality and societal impact. The
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to pharmacological intervention. We will combine studies in GPR6 knockout mice with pharmacological approaches in rodent models, including Flinders Sensitive Line (FSL) rats, a model of depression. By linking
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with proteomics experts. You will be working primarily with mice models and primary neuron cultures. You will be involved in the Center for Proteins in Memory (PROMEMO) funded by the Danish National Research