Data really powers everything that we do. Research activities in the data science area are concerned with the development of machine learning and computational statistical methods, their theoretical ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Computational statistics harnesses the power of sophisticated numerical algorithms and high‐performance computing to solve complex inferential problems that are intractable by traditional analytical ...
Precision oncology therapies, which target specific abnormalities in a patient’s cancer, are changing the nature of cancer treatment by enabling clinicians to select therapies that are most likely to ...
The Department of Computer Science, Faculty of Science, University of Helsinki invites applications for a Doctoral or Postdoctoral Researcher in Resource-Efficient Probabilistic Machine Learning. The ...
Aptamers are single-stranded oligonucleotides generated by the systematic evolution of ligands by exponential enrichment (SELEX). They have a wide variety of applications, but computational approaches ...
Quantitative and Computational Finance (QCF) merges mathematical modeling, statistics, and algorithms to analyze financial markets and manage risks, with strong demand for skilled professionals in ...
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