98 python-"DIFFER"-"NTNU---Norwegian-University-of-Science-and-Technology" positions in Germany
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that process planning has a high potential for automated optimization. Building upon this, you will advance our optimization pipeline and evaluate different optimization algorithms/strategies. What you will do
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workbench for chiplet assembly Generation of FE models for different chiplet configurations using the workflow Research and identification of suitable Python modules for Ansys FE modeling automation Use
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) (Reference: 24-STB-PB4-PD) Understanding how different Earth system components affect the variation of life forms and how this diversity of life impacts tectonic, geomorphic, and climatic processes at various
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | about 15 hours ago
the methodology applicable to different commodities # Scientific publication activity Your profile # Completed university studies (Master/Diploma) in the field of Geosciences, Applied Geosciences or related field
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characterizing defects such as dislocations Applying generative models (e.g., GANs, diffusion models) to augment microscopy datasets Investigating domain adaptation techniques across different imaging modalities
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an interdisciplinary research environment aimed at achieving a comprehensive understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working
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an exceptional international team with expertise in all aspects of the project. Your tasks will include: • Preparation of different EO and in-situ datasets for training a machine learning model • Development of ML
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approach in which we investigate and evaluate the advantages and disadvantages of suitable solution approaches and technologies for the heat transition and sector coupling from the different perspectives
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, diffusion models) to augment microscopy datasets Investigating domain adaptation techniques across different imaging modalities Collaborating closely with experimental partners to validate methods and
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on the analysis of observational and modelling data. This includes methods for analyzing different and in particular inhomogeneous data sets, also with the help of artificial intelligence (AI) methods, as