914 evolution "https:" "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions in Sweden
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Histological techniques, such as in situ hybridization and immunohistochemistry Confocal microscopy High-throughput screening approaches Development or optimization of molecular and experimental methods
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and students, will contribute to the development of teaching and the subject area? Welcome to apply to us! We offer you: As an Assistant Professor, you will contribute to a learning environment that
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conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. Where to apply Website https
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application! Work assignments This position is divided into two primary responsibilities: Instrumentation and User Support at MAXPEEM (approx. 50%): Take a key role in the development, maintenance, and
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Uppsala University. The platform aims to ensure Sweden's long-term competitiveness in battery development and electrification of the transport sector. The work will be carried out in a battery pack testing
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technology, nanoscience, photonics and future electronic systems - for technical and societal development. Our cross-disciplinary approach gives interesting collaborations in academy, industry and society, and
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for the division is the Visualization Center C, a unique science center in Norrköping that engages the public through data-driven installations and 3D fulldome experiences. Read more at http
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research teams to strengthen interdisciplinary activities at the university; contribute to the strategic development of the department, faculty and SLU; develop and maintain national and international
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: https://www.gu.se/en/sahlgrenska-akademin/about-us/call-for-9-assistant-professor-positions You will work in close integration with healthcare, with direct access to clinical expertise, patient data, and
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this project are, e.g., efficient training of SNN models, programming abstractions for SNNs, development and mapping of applications to SNNs, and balancing system energy, latency, and cost. The Ph.D. student