168 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Forschungszentrum Jülich
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
-computing hardware Work in an interdisciplinary team of engineers, computer scientists, and life scientists Regularly participate in international conferences to present your own work, and learn about state
-
controlled conditions and integrate chip systems with AI-assisted live-cell microscopy for autonomous feedback imaging and data analysis. Contribute to trainings, technology transfer and perform lab rotations
-
Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
-
planning and execution architecture for information-driven experiment steering (closed-loop control) Work in an interdisciplinary team of engineers, computer scientists, and life scientists Present your work
-
reports, publications, presentations, and educational activities (courses, hackathons, community events). Your Profile: Excellent Master’s degree or PhD in Computer Science, Software Engineering, Data
-
. Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, computational neuroscience, or a related field Excellent quantitative and analytical skills
-
Your Job: Quantum computers will play a crucial role in the development and optimization of battery materials in the future. In this project, you will develop innovative quantum algorithms
-
subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development of numerical methods for multi
-
, as well as grant proposals, and present your own work at international conferences Your Profile: Master / Diploma and excellent PhD in computer science, engineering, physics, biophysics, applied
-
Your Job: Investigate the potential of novel computing architectures for lattice field theory workloads Contribute to the design and implementation of an open-source lattice field theory framework