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focus on combining simulations using spatial-genetic-demographic individual based models (e.g., using the software SLiM), machine learning approaches, and genomic data to estimate larval dispersal
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Development Plan (PCDP) outlining research objectives, timelines, skill development goals, and career aspirations. Organize, prepare and follow up biannual meetings of the supervisory teams. Design and conduct
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technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human
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communication skills and willingness to work in a cross-disciplinary, collaborative environment. Desirable criteria Experience with machine learning or pattern recognition methods. Familiarity with wavefront
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of seven departments in the Faculty of Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307240/phd-candidate-in-machine-… Requirements
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hardware-software co-design of ML models taking inspiration from the brain. The applicant should: have a Master’s degree in Engineering with a background in Electrical Engineering, Computer
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requirements You hold an MSc degree in Electrical Engineering (must-have). You have a strong interest and demonstarted interest in analog integrated circuit design Hands-on experience in circuit design, gained
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metabolite clearance. Current research areas include: • Glymphatic and lymphatic dynamics in brain injury, sleep, and neurodegenerative diseases • Traumatic brain injury mechanisms, including cerebral
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research and innovation centre for nanoelectronics and digital technology. The worldwide team of 6,000 scientists, engineers, and innovators from over 100 countries, is driven by a shared passion to push
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laboratories. The topic of the doctoral research will on development of efficient and scalable search engines. This entails design of new retrieval models, efficient query processing, and use of modern hardware