83 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Southern Denmark in Denmark
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Agent-based simulation and middleware platforms for multi-agent systems AI-driven forecasting and flexibility orchestration Scalable data and machine learning pipelines Digital twin architectures
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characteristics: be self-motivated, having a can-do attitude, willing to learn be able to program in C plusplus; ; and/or Python be at least familiar with ROS2 and Linux have decent understanding of robotics
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are looking for a student to support the operations of the Cyber-Physical Lab, a facility where physical experiments are directly interfaced with and controlled by computer systems. The position requires a
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initiatives Commitment and ability to teach and supervise students at bachelor’s and master’s levels, including course development in digital design, computer architecture, and AI hardware Strong communication
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. You will also spend 3 months at Georgia Tech/Emory University (USA), working on machine learning and data benchmarking. Work description The selected PhD student will be responsible for the full
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, sensing at the robot–environment interface, and bioinspired control strategies to allow the robot to perceive and adapt to different terrains. By bridging soft robotics, physical intelligence, and learning
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Job Description The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark
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workflows Experience in quantitative data analysis and computational approaches; familiarity with machine learning or advanced statistal methods is advantageous Preferably experience with micro-CT imaging
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objectives involving research, code development, supporting software and consulting with scientists. Other relevant qualifications (not required): Bsc in Computer Sciences. Experience with DevOps practices
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Bioinformatics Staff Scientist at the Center for Adipocyte Signaling (ADIPOSIGN) (Academic Employee)
for exploratory data analysis and data sharing Experience in Machine Learning would be desirable Passion for complex data visualization and representing data into interpretable figures. Ideally at least one major