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Field
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lead the design, statistical optimisation and validation of assays for clinically relevant bladder cancer targets. Their central objective will be to develop an algorithmic workflow to detect new target
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
analytics techniques Clean, manage, and prepare research data (including electroencephalography (EEG) and magnetic resonance imaging (MRI)) for analysis Assist with algorithm development, optimization, and
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Biology is desirable. Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Baylor College
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; computational biology, bioinformatics or digital health; interpretable, robust or trustworthy AI; fairness-aware machine learning and algorithmic-bias analysis. The ideal candidate will demonstrate the potential
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interpretable framework for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured
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together with an IT-expert for the application of machine learning (ML) algorithms for the automated analysis of the recorded mass spectra. Requirements: - Master's degree in Planetary Sciences, Physics
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to advance the care of pediatric cancer patients. The mission of the Gillani Lab is to advance pediatric, adolescent, and young adult cancer care using cutting-edge computational biology approaches. We strive
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elaborated an algorithm for identification of cancer specific T cells, which selectively kill autologous tumour but not healthy lung tissue. Simultaneously, we have developed the method for identification and
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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guided by several scientific priorities, and a major one is the Program for Memory Longevity (PML), a signature program of OBI in hippocampal circuit biology and memory, led by Attila Losonczy, MD, PhD