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large datasets, and applying AI approaches (e.g. machine learning, image segmentation, multimodal AI data integration) will be considered advantageous. Strong skills in communicating scientific results
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of the canopy and longer wavelengths being most sensitive to the characteristics of trunks and soils. Recent research has shown that phase difference between two temporally separated SAR acquisitions is also
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data science and machine learning Additional software skills such as Shiny, LaTeX, Tidyverse, Tableau, C/C++, Java, GitHub Experience in report writing for projects underpinned statistics Attributes and
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excellent qualitative research skills and data analytical abilities; is eager to learn from and collaborate with researchers and practitioners from a wide range of backgrounds; is proactive, can work
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and enthusiastic researcher. Analytical skills, initiative and creativity are highly desired. You are a naturally curious person who is eager to learn more and has a strong interest in research
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, Abstraction and Reasoning, Bio-Inspired and Neuro-Inspired AI, Artificial Evolutionary and Developmental Systems, Alignment, Social Learning and Cultural Evolution, and other Artificial Life techniques
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‘Media Arts and Immersion’ and ‘Media Archaeology’, and will have the full support of well-equipped VR and Sound studios. The Université Bourgogne Europe offers 400 different degrees across all levels (950
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Centrum Wiskunde & Informatica (CWI) has a vacancy in the Machine Learning research group for a talented PHD-studenT iN NeuroAI of Developmental vision (m/f/x) Job description A PHD-studenT iN
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includes PhD students and researchers at TU Delft, Wageningen University and Research, and Erasmus University Rotterdam, as well as industrial partners that specialize in machine learning, climate control
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. Participate in teaching and mentoring of students. Engage in continuous learning and professional development opportunities. You will work here The research is embedded within the chair group BioNanoTechnology