4 machine-learning positions at TU Dresden in Germany

PhD Position in FPGA Design

application domains are e.g., signal-/image processing and machine learning. Tasks: scientific research and development in designing and programming fied programmable gate arrays (FPGAs) for accelerating signal

PhD Position in Computer Engineering

/software co-design and operating/runtime systems. Typical application domains are e.g., signal-/image processing, machine learning and control algorithms for robotics. Tasks: research and development in

Postdoctoral position at TU Dresden, Germany on “Data-driven Design of Novel Two-dimensional and Ionic High-entropy Compounds”

-functional based anddata-driven (machine learning) methods for designing novel ionic high-entropy compounds -Collaborate closely with various local, national, and international collaborators Requirements: -PhD

PhD position at TU Dresden, Germany on “Data-driven Design of Novel Two-dimensional and Ionic High-entropy Compounds”

-functional based anddata-driven (machine learning) methods for designing novel ionic high-entropy compounds -Collaborate closely with various local, national, and international collaborators Requirements