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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling
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organization. We invite applications from motivated candidates with passion and a strong interest in conducting research and innovation activities on crop modeling, remote sensing, and computer vision to predict
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CDT in Machine Learning Systems About the CDT Machine Learning has a dramatic impact on our daily lives built on the back of improved computer systems. Systems research and ML research are symbiotic
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interaction, psychology and sociology. Core research topics are communication & technology, verbal and non-verbal communication, health communication, climate communication, information visualization, language
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infrastructures with early warning and blocking capabilities of DDoS attacks (SDPICaDDoS) Research Field Engineering » Communication engineering Engineering » Computer engineering Engineering » Electronic
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qualifications You have graduated at Master’s level in computer science, computer engineering, human-computer Interaction, media technology, visual learning and communication, or closely related fields
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in AI. Previous publication record in relevant fields: AI, machine learning, computer vision, etc. Previous successful project on a relevant topic. Good knowledge of statistics, probability
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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and
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fields, or computational algebra; · Proficiency in computer algebra systems (Magma, SageMath, GAP) is highly desirable; · Excellent written and spoken English. Research FieldMathematics » Other
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part of this program, IOB offers PhD and MD-PhD fellowships to outstanding candidates from diverse fields such as Biology, Medicine, Physics, Computer Sciences and Engineering who wish to pursue