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of (or aptitude to learn) quantitative data analysis and coding (e.g. R). Or a background in computer or data science who can demonstrate their ecological or natural history knowledge. Candidates should have a
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Institute). Qualifications We seek excellent students with a strong background in cosmology, astrophysics, physics, mathematics and/or computer sciences, who seek to obtain a Joint-PhD degree from
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Vehicles (UAVs/USVs), and to harness this imagery to characterise the surroundings of a sea vessel. Such systems will comprise both hardware and signal processing approaches to acquire data and obtain high
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computer vision and machine learning methods to interpret the photovoltaic (PV) solar farm's condition and perform various inspections and anomaly detection. The research will draw from state-of-art
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will be given to candidates with demonstrated experience with natural language processing, machine learning, and handling large-scale datasets. The position offers an excellent opportunity to develop
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, Large Language Models, Human-Computer Interaction, Virtual reality. The selected candidate will work on the design and implementation of a human-computer interface to support education using an AI-based
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-theory, machine learning, coding skills, theoretical solid mechanics, numerical analysis. The official transcripts of your BSc and MSc grades List of at least two references with full contact information
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machine learning, and data science. By developing cutting-edge, data-driven solutions across diverse domains, AID plays a key role in shaping the future of AI.As part of this dynamic environment, the PhD
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Uppsala University, we are announcing the position as DDLS PhD student in Data driven epidemiology and biology of infection. Data driven epidemiology and biology of infection covers research that will
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area “statistics to serve society” which focuses on developing statistical methods and software for the analysis of large and complex collections of data. The PhD student(s) is planned to be connected