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resistance! The project aims to study fundamental molecular mechanisms of how phages interact with host bacteria during infections, particularly focusing on the use of E. coli and its related phages as model
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Postdoctoral position in structural and biophysical analysis of plant hormone transporters within...
to investigate the molecular mechanisms of plant hormone transport. The position offers the opportunity to work within an international, interdisciplinary environment, combining structural biology, biophysics, and
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to investigate the molecular mechanisms of plant hormone transport. The position offers the opportunity to work within an international, interdisciplinary environment, combining structural biology, biophysics, 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
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the wider scientific community Formal qualifications You must hold a PhD degree in chemical engineering, computer science, software engineering, data science, or a related discipline. We offer DTU is a
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a researcher focused on thermal
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the biogeochemical mechanisms that underpin the resilience of restored wetlands, integrating field observations, laboratory experiments, and modelling approaches. You will explore how nutrient dynamics, hydrological
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the biogeochemical mechanisms that underpin the resilience of restored wetlands, integrating field observations, laboratory experiments, and modelling approaches. You will explore how nutrient dynamics, hydrological
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international quality. In your daily work, you will work closely with an interdisciplinary team of scientists and clinicians, combining cutting-edge computational approaches with experimental validation. Your
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). The successful candidate will contribute to the REINS research project, focusing on runtime reconfigurable embedded AI solutions for heavy construction machinery. Application deadline: September 15, 2025