70 parallel-and-distributed-computing-phd-"Meta"-"Meta" Postdoctoral positions at Technical University of Denmark
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operate experimental facilities (electrolysis, PCM, BESS, etc.) and develop tools related to PtX testing, modelling, control, and energy system integration Co-supervise BSc, MSc, and PhD students and
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experimental techniques. As a formal qualification, you must hold a PhD degree (or equivalent). You must have: Documented expertise in either computational protein design or wet lab techniques, with a
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at conferences and meetings. Maintain high scientific rigor while fostering innovation and translational impact. Required Qualifications PhD in yeast synthetic biology, biotechnology, molecular biology, immunology
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airborne geophysical observations, and strong competences in Arctic fieldwork logistics. The gravity research group has carried out airborne gravimetry since the 1990s and has an annual work programme to
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high-impact journals Required qualifications: PhD degree (or equivalent) in physics, photonics, optical engineering, or a related field Solid hands-on laboratory experience in experimental optics, e.g
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computational and experimental techniques. Play an active role in education and outreach in protein design, including contributions to teaching and mentoring activities. You must have a PhD in a relevant field
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resources Help foster a positive, inclusive, and collaborative group culture, supporting newcomers Communicate results in scientific publications and at international conferences Qualifications Must-have: PhD
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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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of structural response models against measurements. Support the structural dynamics and multi-body modelling efforts in HAWC2. Teach and supervise BSc and MSc student projects and be co-supervisor for PhD
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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