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will be available for a 3-year period. You will be part of a research environment focusing on the ecology of plant-microbe interactions. You will specifically be contributing to the area of fungal
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will be available for a 3-year period. You will be part of a research environment focusing on the ecology of plant-microbe interactions. You will specifically be contributing to the area of fungal
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at Aalborg University is looking to hire a postdoctoral researcher in Human-AI interaction for a temporary position. The desired starting date is April 1, 2026 or soon thereafter, and the position offers a
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The Human-Centred Computing Section at Aalborg University is looking to hire a postdoctoral researcher in Human-AI interaction for a temporary position. The desired starting date is April 1, 2026
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will begin on April 1, 2026. Job description Microbial life in anoxic environments often relies on tight physical interactions that enable cells to function, conserve energy, communicate and regulate
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, this position offers a unique opportunity. You will work with real robots, real sensors, and real physical interaction problems, contributing directly to the development of autonomous mining systems capable
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Two postdoctoral positions (3-year) in Experimental Evolution of Methanogenic Microbiomes in Bioe...
section (~60 people), an interdisciplinary environment spanning environmental microbiology, biogeochemistry, microbial ecology, and Earth–life interactions. Nordcee hosts a strong international research
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nanoparticles for gas-phase catalysis. Development and application of ultrasensitive methods to probe gas–surface interactions by means of electron spectroscopy in the electron microscope. Operando studies
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molecular thermodynamics by water and electrolytes (REMOTE)”, which aims to unravel the intricate relationships between fluid structures, molecular interactions, and macroscopic properties, deepen
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biology Functional assays involving sperm motility, acrosome status, sperm–zona interactions, and related fertilisation readouts Iterative optimisation of protein designs based on experimental performance