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significant role in learning in AI by enabling cognitive agents to acquire actively knowledge and skills through interaction with their surrounding environment. Embodied AI requires tools, algorithms, and
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to your doctoral programme, which includes participation in research projects as well as third cycle courses, seminars and conferences. The work duties include: You will work on multiple projects developing
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duties include: You will work on multiple projects developing AI-based technologies for water resources management. You will travel abroad to attend general assemblies of a European project and also attend
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Description of the offer : The Applied Spintronics Group, University of Gothenburg, Sweden, led by Prof. Johan Åkerman, focuses on magnetodynamic phenomena, spin and orbital torques, nanofabrication
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). Meritorious: It is also an advantage if you have experience with: Machine learning. Coupling algorithms of fluid-structure interaction solvers. Computational aeroacoustics. Swedish is not required
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of computational fluid dynamics (CFD). Knowledge of finite element method (FEM). Meritorious: It is also an advantage if you have experience with: Machine learning. Coupling algorithms of fluid-structure interaction
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with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
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these transcripts into protein sequence databases. Guide the development of proteogenomics through implementation of novel algorithms and computational analysis infrastructure Development of tools to support clinical
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to teach a wide spectrum of entry level courses in English in, among others, programming, algorithmic problem solving, data structures, programming languages, and the analysis of algorithms. The applicant
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We are looking for a highly motivated postdoctoral fellow will join the lab of Assoc. Prof. Davide Angeletti (www.angelettilab.com ) at the Department of Microbiology and Immunology