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of computer science, biology, physics, mathematics or a related field Programming skills in Python required (Numpy, Pandas, Scikit-learn, Pytorch) Hands-on experience in Deep Learning Demonstrated interest in working
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training program with close mentoring access to advanced research infrastructure and shared core facilities a vibrant and collaborative scientific community in Dresden and internationally The successful
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Description Universität Hamburg—University of Excellence is one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange activities is fostering the next generation of responsible global citizens ready to tackle the global...
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techniques Writing and submitting computational proposals to obtain the computational resources required to accomplish the project Engage in the international simulation community Publishing the results
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. between Christmas and New Year) Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities
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thesis can be written in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Additional information on beginning, duration and mode of study PhD students can
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holidays and weekends (e.g. between Christmas and New Year) Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education
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, with the goal of obtaining a doctoral degree within four years. Additionally, candidates are expected to contribute to and actively participate in the academic program of the RTG. Depending
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program under the MARIE SKŁODOWSKA-CURIE grant agreement no 101227277. Research areas: DC3: Future solar-wind propulsion concepts Terms: The position is limited to 36 months
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support of data/metadata formats developed in the group Integration of the developed software into the computational environments and data handling routines Presentation of the scientific results