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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
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further develop the all-optical method for density measurements in the diamond anvil cell, and collaborate with the existing group members as well as with Prof. Dr. Bjoern Winkler (Goethe University
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to teaching Opportunity to apply for own funding Your profile PhD degree in developmental-/ cell biology, biochemistry, or related disciplines Must have strong experience with at least two of the methods
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. We are looking for a highly motivated and ambitious candidate with an interest in quantitative methods, bioinformatics, clinical neuropsychology, and network theory of psychopathology. The candidate
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, ability to work efficiently in a team and with collaborators Experience in Single Cell Multi-omics techniques and multiple component analysis programs is an advantage Experience in cellular immunology and
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A postdoc position is available immediately in the laboratory of Dr. Daniel Blair which focuses on developing direct-to-biology screening methods to identify antibiotics. A postdoc position is
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to explore new analysis methods using deep learning. Depending on the interest, it is also possible to be involved in the wet lab. Professor Tiwari also leads the Center for Integrated Multiomics in Precision
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at Karolinska Institutet. The research group of Dr. Ping Chen in the Division of Clinical Chemistry is seeking a postdoctoral fellow with expertise in RNA splicing and computational method development. The Chen
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for methodological development in the project centres around demonstrating the feasibility of the use-cases with minimal data-sharing and via methods that concentrate on anonymisation, federated learning, and data
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uncooperative spacecraft . Develop novel methods for characterization and quantification of input-output bounds in an AI-augmented perception system: Develop novel methodologies and tools for characterizing and