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organising and conducting their own research project (under supervision). The programme culminates in the submission of a PhD thesis, which the student must defend in public. The programme is prescribed to 180
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Job Description We are looking for an experienced automation scientist to join the Biofoundry in the Adaptive Laboratory Evolution team. The job You will be responsible for day-to-day operation and
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and evaluate sustainable food packaging solutions that integrate material innovation, production systems, and microbiological safety for high-impact societal and scientific outcomes. Responsibilities
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working collaboratively at the interface of physics and Earth science. This project offers a rare opportunity to engage in groundbreaking research with high impact across both academic and industrial
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Sciences Tenure Track Programme. Highly qualified candidates are appointed as Assistant Professors for a period of six years with the prospect of performance- based advancement to a tenured Associate
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Assistant Professors for a period of six years with the prospect of performance- based advancement to a tenured Associate Professorship. The aim of the Natural Sciences Tenure Track Programme is to: attract
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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PhD students working collaboratively at the interface of physics and Earth science. This project offers a rare opportunity to engage in groundbreaking research with high impact across both academic and
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iNANO at Aarhus University is seeking a postdoctoral fellow for the Novo Nordisk Foundation CO2 R...
scientists to conduct research on the microbial fitness, physiology, and metabolism in advanced microbial electrosynthesis reactors as well as on the performance of phylogenetically diverse methanogenic and
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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs