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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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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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clinical sample collections and pre-clinical models that more comprehensively capture the cellular and molecular heterogeneity of this multi-focal cancer. Your job responsibilities As Postdoc in prostate
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modelling Experience with hardware-in-the-loop (HIL) emulators such as dSPACE, OPAL-RT, and Speedgoat Experience in power systems and system optimization Knowledge of battery storage technologies and battery
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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
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contribution to proteinuria-induced kidney injury. Our research integrates molecular and cellular biology, mouse models, advanced imaging, and omics technologies to uncover mechanisms driving chronic kidney
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, C++, or equivalent) Experience with 3D modelling, rendering, or fabrication, and haptic feedback Familiarity with computational or optimization methods applied to interaction (e.g., computational UI
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physiological and molecular responses and will feed into the project's design-test-model cycle. The position will also strengthen the unit's capacity in plant cultivation under controlled and sterile conditions
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- Aarhus University International applicants International applicants are encouraged to check Family and work-life balance in Denmark (au.dk) and Attractive working conditions (au.dk) for further