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                We are seeking an experienced researcher in experimental plasma physics, with a strong focus on wave heating and current drive systems. You have substantial expertise in designing radio frequency 
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                or experience in strong collaborations and interdisciplinary work at the intersection between machine learning, geophysics and acoustic data modeling. A strong experience with software defined radio Automatic 
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                archaeology, ancient history or a related discipline Proven expertise in archaeology and cultural heritage of the Near East and Western Asia fluency in English (spoken and written) knowledge of other modern 
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                Position in XAI with Commonsense Knowledge for Robotics and Computer Vision 2. PhD Position in Sustainable AI for Enhancing Health Informatics (Please scroll down to read more about the project descriptions 
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                that regulate cognitive functions. These functional brain networks display intricate spatiotemporal dynamics that encode rich informational content. However, analyzing such interactions remains challenging due 
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                step, this does not fully explain how a ML model arrived at a prediction. For knowledge intensive natural language understanding tasks such as fact checking, a ML model needs to learn complex 
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                characterizes the causal influences among them. Even in a resting state, the brain exhibits spontaneous neuronal activity organized into networks that regulate cognitive functions. These functional brain networks 
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                knowledge-sharing research environment. Please be aware that according to MSCA rules, you cannot have resided or carried out main activities in Denmark for more than 12 months in the three years immediately 
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                involved in: Analysis of data from medium and low-cost sensors Analysis of data from cognitive performance assessments and health survey responses Conduction citizen science-based activities in the schools 
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                public health and implementation of new health knowledge and technologies. Currently, our department has approximately 280 employees, 100 PhD students enrolled in the Doctoral School in Medicine