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R - software workshop
Digital Health Meetup introduces a 2 day workshop to basic statistical concepts and R programming skills necessary for analyzing data in life sciences. This workshop is suitable for novice programmers, researchers and scientists and aims teach best practices for scientific computing, to provide a friendly environment where participants can add to their existing knowledge and help them quickly apply skills to conduct reproducible research. -------------------------------------- WHO: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop. Zero-entry - no experience required or expected! This means that people who are familiar with R commands and basic programming may find the content of this workshops too introductory. WHERE: Aristotle University Research Dissemination Center, Aristotle University of Thessaloniki, 3rd September Str., 54636 WHEN: 26-27 January 2019 INSTRUCTORS: Dr. Fotis E. Psomopoulos, Dr. Chrysanthi Ainali -------------------------------------- Schedule and Syllabus: The workshop will run for two consecutive days from 9.30am-5.00pm on 26 – 27 January 2019. Details about the training schedule and syllabus will be available soon. Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system that they have administrative privileges on. Registration: you can register through Eventbrite here https://www.eventbrite.com/e/r-software-workshop-tickets-53221878070 Please note there are only 25 places available! About the instructors: Dr. Fotis E. Psomopoulos is a bioinformatician at INAB|CERTH as well as at the Karolinska Institutet, with a research focus on data mining techniques for HTS data. He has formal roles in several e-infrastructures including RDA and ELIXIR, all of them including a training aspect, and the co-author of the Open Science Training Handbook. His personal website is: https://fpsom.github.io/ Dr. Chrysanthi Ainali is a bioinformatician with an expertise in machine learning. She is an honorary research fellow at King’s College London and in 2017 has founded DIGNOSIS (http://dignosis.co) to develop innovative solutions for healthcare providers, clinical researchers and academics to gain insights into the biological data. She has previously worked in different initiatives in academic and private sector in developing mathematical predictive models for translational medicine applications, designing and developing genetic tests using Next Generation Sequencing as well involved in various training programmes.

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    What we're about

    A cross-disciplinary community in Thessaloniki that will bring together researchers, developers, clinicians, entrepreneurs, patients, engineers and others interested in Digital Health. Our group will connect industry with academia in healthcare to share ideas, establish global collaborations and promote all things related to digital health within Thessaloniki.

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