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: incorporating relevant policy levers and management strategies, climate change projections/rainfall events, broader BGI design constraints and other multiple benefits of BGI, e.g. connectivity for ecological and
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analyzing experimental data. Has demonstrable affinity with the topic of sustainable consumer behavior. Has excellent communicative and project management skills to handle the multiple stakeholders involved
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(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis
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metabolomic profiles, environmental exposures, and cardiometabolic health. You will do this by analysing unique, high-dimensional OMICs data generated within Exposome-NL. You will work closely with leading
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and implantable sensors o Microfluidic-based electrochemical platforms o Data-driven sensor signal processing Fluent English proficiency (B2/C1 level or higher). Strong analytical, problem-solving
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of Bergen. About the project/work tasks: Pregnancy is a unique time of life where mother and child live in symbiosis. This relationship however induces multiple symptoms for mothers including nausea, vomiting
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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life where mother and child live in symbiosis. This relationship however induces multiple symptoms for mothers including nausea, vomiting, bleeding, pain, fatigue and many more. Do you want to discover
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Application deadline: 21 July 2025 Apply now Are you passionate about environmental health, data science, and AI? Do you want to contribute to groundbreaking research at the intersection of technology, urban
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nature-based solution, for climate change adaptation, biodiversity gain, and other ecosystem services to people. Key responsibilities: Analyse biodiversity data of birds, plants and insects from newly