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correspondence. Together, these materials form an insect archive that reveals evolving relationships between people and insects. The student will develop their own research questions, with wide scope to choose
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studentship will broadly explore development of cutting-edge AI solutions for image registration, anatomy segmentation, and immersive technology. The selected candidate will work with preoperative MRI/CT scans
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: This is an opportunity for an outstanding PhD candidate with a background in architecture, urban design/planning, geography and/or co-design, and an interest in developing innovative new research exploring
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understanding of molecular thermodynamics, and realize the importance of different types of properties in selecting and developing the most physically sound thermodynamic model for water and electrolytes
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treatments and patient survival, treatment resistance inevitably develops, and multiple myeloma remains incurable. Novel approaches to provide an accurate prognosis, guide treatment choices and develop new
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Developing innovative technology solutions and bringing them to application - that is our goal at the Fraunhofer Institute for Photonic Microsystems IPMS . With our expertise in the development
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | 15 days ago
the future of science. As a PhD student, you will benefit from: Fully funded positions (via employment contracts with full social benefits) Dedicated mentors who support your scientific and career development
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strong societal impact. Your responsibilities will follow the project scope described above and include laser design and development, experimental nonlinear optics, laser and frequency-comb
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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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inventories and provision of environmental information. Similarly, the developments in AI and machine learning allow for new and improved processing of remotely sensed data supporting precision forestry