19 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Lund in Sweden
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been completed earlier. A good ability to develop and conduct high quality research. You have a PhD in biochemistry, biophysics, chemistry, computational biology, or a related field. You have very good
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to numerical analysis and optimization, as well as mathematical statistics and machine learning. The centre offers a lively academic environment where colleagues from many parts of the world come together
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of the following areas: state models, time series analysis, computational statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity
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presentations, and grant applications. Maintain well-documented, reproducible code and share data/tools when appropriate. Qualifications Requirements for employment are: PhD in Bioinformatics, Computational
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. Significant experience of developing deep learning methods using computational frameworks such as PyTorch, TensorFlow etc. Experience of working with molecular questions in the biosciences An interest and
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higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. The research tasks include
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hardware and radio systems to distributed cloud platforms and applications. This broad expertise enables research that seamlessly connects connectivity, computation, and cloud-native design. To The Division
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acoustics and fluid dynamics to the applications in biomedicine. The group currently has four PIs and 16 scientists (PhD students, postdocs, and researchers) with different backgrounds. The group strives
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new research team, including senior researchers and PhD students, combining expertise to advance battery research. You’ll draw on advanced models that assess how charging, temperature, and balancing
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sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment