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Job Description Are you motivated by the potential of proteomics and AI to uncover hidden biology? Do you want to map the dark extracellular matrix proteome and degradome and reveal novel mechanisms
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capture and utilization pilot plants that demonstrate the practical application of our research. The job We are looking for a part-time consultant who will play a pivotal role in identifying and mapping
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way around Google Analytics or similar tools. Our expectations of you: You’re studying marketing, comms, business or something similar — and have at least a year left of your studies You like writing
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, what motivates them to engage with disruptive technologies, and how emerging regulatory frameworks and business models influence their decisions. The doctoral research will focus on mapping the diffusion
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analytical techniques to assess materials in both pre- and post-consumer shoes. The project aims to: Map footwear waste flows in Europe by building a database of common materials in selected footwear
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applicant will also bring significant experience with general software engineering, with working experience with Cloud Platforms (Google Cloud Platform, AWS, Azure), alongside a strong understanding of recent
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sponsored project called BIO-MAG, we aim to create magnetic sensors with subpicotesla sensitivity and use these sensors to map neuron activity at room-temperature. As part of this large project, we
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bridge between KTH’s expertise in early disaster risk detection (e.g., ignition risk mapping for wildfires) and DTU’s strength in AI-supported decision-making for safety-critical systems. Your work will
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the project team, your responsibilities will include: Developing, extending, and maintaining ontologies that describe experimental data, facility metadata, and process relationships Mapping existing data
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of the overwhelming majority of all such tools in existence today yield properties that fail to map to bonds, the entities of main interest to most of synthetic chemistry. To that end, BONDS – a new long-term project