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: Develop, implement and refine Machine Learning (ML) techniques for self-supervised Deep Learning (DL) for scientific and large-scale datasets Implement parallel ML training on the High Performance Computers
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to different domains. Specifically, you will: Develop, implement, and refine Machine Learning (ML) techniques for self-supervised Deep Learning (DL) for scientific and large-scale datasets Implement parallel ML
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education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs Targeted services
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motivated team at Forschungszentrum Jülich, which is one of the largest and best-equipped research facilities in Europe You will have the opportunity to participate in project meetings and education events
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Ministry of Education and Research You will have the opportunity to participate in project meetings and conferences and present your results (online and face-to-face events) You will also be able to develop
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Excellent technical equipment and the newest technology Qualified support through your scientific colleagues The chance to independently prepare and work on your tasks A large research campus with green
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Internship / Master Thesis – Quantum Optimal Control Algorithms for Electrochemical NMR Applications
on projects in an international, committed and collegial team Excellent technical equipment and the newest technology Qualified support through your scientific colleagues The chance to independently prepare and
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the following tasks: Contact person for and close coordination with the participating scientific groups Responsibility, planning, organisation of networking and further education events (e.g. lecture series
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in Europe You will participate in a consortium of universities and other national and international research institutions funded by the German Federal Ministry of Education and Research You will have
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Jülich, which is one of the largest and best-equipped research facilities in Europe You will have the opportunity to participate in project meetings and education events organized in the frame