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for Deep Learning (PyTorch or TensorFlow) and ability to work using multiple Deep Learning libraries Ability to conduct systematic scientific research related to the design of Deep Learning methods and
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and BCR analysis and in silico data generation is an advantage). Strong understanding of gene transcription regulation and cis-regulatory elements in a cancer setting. Track record of developing
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Dynamics, Mechanisms, Sensitivity, Specificity, Single-cell Variability, and Vulnerabilities. Our group is multi-disciplinary, combining methods from Bioinformatics (RNA-seq, biological databases
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on developing novel Machine Learning methods for financial markets. The positions will offer excellent opportunities to work in a team of professionals responsible for developing cutting-edge technologies in
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interface materials and bonding parameters for individual GaN chips. Characterize the bonded samples using mechanical, electrical, and thermal analysis methods to assess bonding quality and identify