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for Intelligence analysis. Implement Agent-based Modeling tools in Python. Develop and implement novel tools for Intelligence analysis. Carry out benchmark analysis, evaluating improvements over traditional
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of the last 36 months in the country to which they apply. Please keep this rule in mind as you submit your applications. Responsibilities You will be based at The Technical University of Denmark working with
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Fan, Department of Civil and Mechanical Engineering, Technical University of Denmark, email: jifa@dtu.dk . You can read more about Department of Civil and Mechanical Engineering at www.construct.dtu.dk
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decision-support or safety-critical systems. Knowledge of Cyber-Physical Systems, Sensor Fusion, or Risk Management is an advantage. Excellent programming skills (Python, C++, or similar). Ability to work in
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Solid experience with statistical modeling, machine learning, or AI Practical skills in R and/or Python for data analysis and model development Familiarity with microbial ecology, genomics, or food safety
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Foundation, the Carlsberg Foundation, the Lundbeck Foundation, the Novo Nordisk Foundation, and the Villum Foundation. CAPeX is hosted by the Technical University of Denmark (DTU) and co-hosted by Aalborg
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
), serious gaming, agent-based simulation, knowledge of relevant research methodologies and practical experience with adequate state-of-the-art tools Very strong skills in coding (e.g., Python, C#, C++) and
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Applications are invited for a 3-year PhD fellowship within the general field of coastal engineering at the Technical University of Denmark (DTU), Department of Civil and Mechanical Engineering
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) and Technical University of Denmark (DTU) aims at understanding and designing noble metal clusters in the non-scalable regime to enable exceptional catalytic performance for e.g. methane and ammonia