149 developer-"https:"-"https:"-"https:" positions at Technical University of Denmark
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Candidates (DCs). We aim to create a network of early-stage researchers equipped with knowledge and skills - including entrepreneurship – to develop and support implementation strategies that address
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regarding on-going projects in connection methane emission measurements and further development and documentation of mitigation efficiency of biofilter technologies to reduce methane emissions. The position
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to spearhead the automation efforts within DTU Bioengineering, with a focus on integrating and enhancing automation workflows for DALSA. This involves not just the development and implementation of automated
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computational fluid dynamics. This full-time role will be based at Exeter’s flagship Living Systems Institute. The successful applicant will develop new approaches to studying the behaviour of single-celled
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Job Description Are you interested in the interface of technology and the human body? Are you eager to contribute to a better life for patients suffering of profound hearing loss by developing novel
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conducted on qualified candidates for the position. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better
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and health. The institute works to prevent disease and promote health, develop new and better food products for a growing population and create sustainable technological solutions, including
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founders on product-market fit, MVP strategy, digital architecture, AI-enabled workflows, and business model validation Running and developing workshops within early-stage startup skills, with special focus
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this knowledge to suggest new ways to optimise catalytic reactions. Overall, you will contribute to the development of AI-enhanced autonomous workflows for interface. These implementations will be general and will
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challenges associated with capturing CO₂ directly from ambient air and is suited for candidates interested in combining computational modeling with experimental electrochemistry to develop energy-efficient e