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. To be successful in this role you need to have the following qualifications A PhD in Computer Science, Applied Mathematics, Physics, Engineering, Scientific Computing, Image Processing, Data Science
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with: Experience with web-GIS development or geospatial data visualization. Experience with high-performance computing clusters or cloud-based Earth observation platforms (e.g., GEE Python API
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the Wallenberg AI, Autonomous systems, and Software Program (WASP) whereby you will have the opportunity of collaboration with top researchers within cybersecurity, networking, AI planning, and cloud
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tightly coupled to GPU-accelerated high-performance computing using Lund University’s national e-infrastructure. You will join an interdisciplinary research environment that values scientific independence
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heat transfer mechanisms and more efficient use of energy. Approximately 25 colleagues work at the division, including 15 PhD students. On the international level we collaborate with universities and
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taking part in the supervision of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, scientific computing, statistics, physics or a related
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of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, computer science, scientific computing, mathematics, statistics or a related field
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/doctoral-studies Duties The PhD education in Medical Science comprises carrying out a scientific project and completing at least 30 credits of courses at third-cycle level. The doctoral student must
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Doctoral student in AI based design of twisted hybrid nanowires Login and apply Lund University Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The
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- Control of Communication networks - Markovian Processes - Network Based Localisation / Radio based connectivity - Adaptive bandwidth - Mesh networking - Wireless Sensor Networks - Edge Computing