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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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, 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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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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profile We are searching for a highly motivated candidate who has: A PhD in environmental sciences, agronomy, soil science, biometrics or similar Ability to work well with others and contribute to team