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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
findings at academic venues and publish research in peer-reviewed journals Your profile # Completed university studies (PhD) in the field of Physics, Computer science, Materials science, Chemistry, or a
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teaching and curriculum development. Your qualifications PhD in computer science, data science, applied mathematics, physics, or a related field. Strong expertise in machine learning and deep learning
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Areas: Scientific Computing/Data Science/harmonic and functional Analysis Appl Deadline: 2025/05/31 11:59PM (posted 2025/04/09, listed until 2025/05/31) Position Description: Apply Position Description
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at the workplace, from compute and GPU servers to supercomputers Opportunity for a PhD (Dr. rer. nat.) in one of the group’s diverse research areas Salary according to the public service pay scale (TV-L E13
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the Baltic Sea. The staff of the five departments Physical Oceanography, Marine Chemistry, Biological Oceanography, Marine Geology and Marine Observations work interdisciplinary within a joint research
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number: 2025-0107 We have an open postdoctoral position in the Division “Personalized Medical Oncology” (head: Prof. Sonja Loges MD, PhD). The Department “Personalized Medical Oncology” focusses
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Fraunhofer IOSB. You will be part of a large, interdisciplinary team from the fields of production engineering and computer science and will explore fundamentally new approaches in seven sub-projects to make
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Physical Oceanography and Instrumentation, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations works interdisciplinary within a joint research program. What will be your
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travel to present at scientific conferences and strengthen inter-lab cooperations Your Profile: University degree (Master) in computer science, physics or a comparable scientific field PhD in one
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scaling and generalization behavior Roll out the model to the global user community Requirements PhD or MSc in computer science, physics, mathematics or a related discipline Experience with large-scale HPC