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continuous improvement and mentorship is part of our DNA. As part of the Software group, you will work in close collaboration with scientists as well as network, system, software and hardware engineers and
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network analysis on adaptation. Applicants should have an advanced academic degree (Masters) in environmental social science, political science or equivalent. They should have documented experience
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of this project is a novel on-chip hybrid nanostructure platform for energy-efficient, fast artificial neural networks and integrated sensor arrays. The project combines several different concepts: Progress in
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or abroad. The employment of doctoral students is regulated in the Swedish Code of Statues 1998: 80. Only those who are or have been admitted to PhD-studies may be appointed to doctoral studentships. When
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associated techniques (SEM, XPS, X-ray tomography, etc.) Experience in analysis coding (Python or MATLAB). Consideration will also be given to how the applicant’s experience and skills complement and
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tailing sites. Scientific dissemination: Publish results in peer-reviewed journals and present at international conferences. Collaboration and networking: Work closely with academic, industrial, and survey
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society's need for knowledge about the dynamics between biodiversity, ecosystem services and the carbon cycle in a rapidly changing world. With about 300 members, BECC offers an extensive network of potential
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collection (experiments, surveys). Expertise in advanced machine learning techniques and large language models (LLMs) —including web scraping, text mining, and neural networks—is considered a strong merit
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is the use of different codes for simulating critical backgrounds, comparing their predictions and developing methods for how to measure these backgrounds in data. The project also aims to explore
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working and efficient cellular or wireless communication system. This employment has a special focus on joint wireless communication and sensing where radio signals from the wireless networks are used