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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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or prior experience with multilingual or low-resource NLP Programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and their application in high-performance
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primary role will be to contribute to project tasks that demand a deep understanding of electrical or thermal energy system operation and dynamics, modelling approaches, and optimization methods. To excel
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for robotics Robotics simulation and synthetic data generation Robot manipulation Deep learning-based planning You preferably have experience working in a biology or chemistry laboratory environment
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collaboration provides access to exclusive biological materials and detailed process information, allowing the consortium to develop a deep understanding of the production process and to pioneer the creation
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the possibility of extension for three years. Tiwari lab employs cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation. In
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. The data will consist of deep sequencing of testis and sperm samples from men of different ages. The aim is to acquire basic understanding of the mutational and selective processes that occurs during
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efforts A deep interest in advancing scientific knowledge and a motivation to build a career in this discipline Experience with high-level programing in R or Phyton Documented experience in scientific