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Max Planck Institute for Radio Astronomy, Bonn | Bonn, Nordrhein Westfalen | Germany | about 6 hours ago
collaboration with scientists, engineers, and international partner institutions We expect Completed university degree (Master's) in computer science, information technology, physics, or a closely related natural
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(UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 10 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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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
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date (mobility rules of the Marie Skłodowska-Curie program) Masters degree in electrical/electronic engineering, computer engineering, computer science, physics, or related fields Coursework in
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specifically for doctoral students (HITEC): https://www.hitec-graduate-school.de/home FAIR REMUNERATION: Remuneration is part of the EU funding program ‘Marie Sklodowska-Curie’ and depends on the personal
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SAFE and Goethe University Frankfurt offer funding to excellent applicants to the Doctoral Program in Law, Finance and Economics for three years with the option to extend for one additional year
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: Required Qualifications: Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Very good knowledge of Machine Learning
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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
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Computer Science Department at Saarland University. Numerous research topics spanning all of Computer Science are available. Applicants are encouraged to look at covered topics at https://www.cis.mpg.de/ . Course
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to collaborate closely with existing structures, such as the FAU Competence Center Engineering of Advanced Materials (FAU EAM), the Erlangen National High-Performance Computing Center (NHR@FAU), the FAU Data