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The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working in partnership to achieve excellence in public and global health research, education and...
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for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Managing and mentoring
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on the Internet, and its implications on the society of the future. This is an exciting opportunity to join us as a Research Fellow under a new programme centered on the culture and politics of social media
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, Chemical Engineering, Materials Science, Computational Engineering, or a related field. Prior knowledge, experience and achievements in multi-physics and CFD modelling of Electric Arc Furnace processes
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Tulane University Office of Human Resources Description for Job: IRC33514 Postdoc Fellow Medicine - Center for Biomedical Informatics and Genomics Location: New Orleans, LA Summary
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have a positive attitude. Working with academics, researchers and PhD students in managing and conducting research activities across the programme, you should have experience of working collaboratively
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academics, researchers and PhD students in managing and conducting research activities across the programme, you should have experience of working collaboratively on projects with a wide range of stakeholders
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discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl
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Fibre lasers are now routinely used in the most advanced production lines for cutting, welding, 3D printing, and marking of a myriad of materials from glass to steel. The ability to precisely control the properties of the output laser beam and to focus it on the workpiece makes fibre lasers...
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research program, integrating molecular, immunological, phylogenetic, ecological, and modelling approaches to produce high-quality research outputs, support competitive funding, and translate findings