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in utilizing machine learning libraries such as PyTorch, TensorFlow, and Scikit-learn. At least 2 years of experience working with Linux computing clusters. Ability to work independently and within a
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bioinformatics, computational biology, or a related field. Proficiency with Linux operating systems is essential, as is the ability to analyse and interpret large datasets and apply critical evaluation to current
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before the fellowship decision date. Documented experience in research projects within the scope of the awarded degree. Required competencies: Strong background in bioinformatics (e.g., R, Linux, Python
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second in the UK for research power and first in England. The UCL Hawkes Institute (https://www.ucl.ac.uk/hawkes-institute/ ) combines methodological researchers from the Departments of CS and Medical
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doctoral degree, in the scientific area of Electrical and Computer Engineering [JB2.1][JB3.1]knowledge of generative neural networks, C++ and Python programming, able to use Docker container platform, Linux
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on studies of the genetic architecture of cardiometabolic diseases, especially the metabolic parts of these diseases and traits. This postdoctoral fellow will be jointly supervised by Dr. Lu (https
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. For additional information on life in Indy, visit http://medicine.iupui.edu/AboutIndy/ . The Indianapolis Campus is the focal point of health professions education at Indiana University, and the School of Medicine
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-throughput sequencing data; c) Knowledge of the Linux operating system and of computer programming languages, including Python. Workplan and objectives to be achieved: a) Management, archiving, and analysis
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Society until 31 May 2028 in the first instance with the possibility of extension. For a full job description please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs
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mission: concept, scientific objectives and data products. Bull. Amer. Meteor. Soc., BAMS-D-23-0309.1, https://doi.org/10.1175/BAMS-D-23-0309.1, in press. The HAWC Science Development Team (SDT) is jointly