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research, undergraduate and postgraduate education within the field of biology, with multiple subfields represented, including animal behaviour, evolution, ecology, genetics, zoology, conservation
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with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
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abilities. This is an exciting opportunity to work at the interface between chemistry, biology, and electronics in the highly collaborative and supportive Laboratory of Organic Electronics (https://www.liu.se
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, localization, and sensing, with a focus on developing next-generation multiple-antenna systems while optimizing overall system performance. As a doctoral student, you devote most of your time to doctoral studies
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of scientific data, e.g. from image acquisition modalities or scientific simulations. Efficient algorithms are at the core of most of these data analysis and visualization applications. The focus of this Ph.D
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📍 Linköping University, Sweden | 🌍 International Collaboration | 🧠 Neural Therapies Are you passionate about cutting-edge research at the intersection of chemistry, biology, and electronics? Join
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We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate,...
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, up to a maximum of 20 per cent of full-time. Your qualifications You have graduated at Master’s level within the civil engineering courses such as technical biology, chemical biology, biotechnology, a
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include the design and implementation of finite element multiscale models and machine learning algorithms, analyzing related experimental data, and collaborating with industrial collaborators to validate