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  • ELIXIR Portugal8
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  • Data management plan6
  • Data managment plan3
  • DNA RNA1
  • FAIR principles1
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• • Scientific topic
  • Data management8
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  • Workshops and courses9
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• • Venue
  • ITQB NOVA, Avenida da República1
  • Instituto de Medicina Molecular (IMM), Avenida Professor Egas Moniz1
  • Lovensdijkstraat, Lovensdijkstraat1
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  • Braga1
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  • Portugal3
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• • Organizer
  • BioData.pt7
  • Avans Hogeschool1
  • Emma Lazzeri, Loredana Le Pera, Ivan Miçetic, Gina Pavone, Allegra Via1
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  • RDA-Portugal4
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• • Target audience
  • Technicians
  • PhD students42
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  • PhD candidates5
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  • Anyone who wants to become a teacher / trainer or a better one3
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  • rare disease patients representatives2
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  • Biologists with little or no prior computational experience2
  • Industry2
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  • Any students, postdocs or RAs with an interest in HPC1
  • Anyone1
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  • Beginners in statistics1
  • Bioinformatician, Bioanalysts1
  • Bioinformaticians and Biologists who want to learn how to manipulate, process data, and make plots using R1
  • Bioinformaticians and wet-lab biologists who can program1
  • Bioinformaticians and wet-lab biologists who can program in Perl.1
  • Bioinformatics beginners 1
  • Biologists and bioinformaticians who are dealing with high-throughput gene expression data or other high-throughput data and would like to learn state-of-the-art methods for mining and analysing such data.1
  • Biologists and bioinformaticians. The course will be of particular interest to researchers investigating organisms without a reference genome or populations featuring high levels of genetic diversity.1
  • Biomedical researchers1
  • Biotechnology Companies1
  • Business Entrepreneurs1
  • Bussiness Professionals1
  • Chemists1
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  • DevOps in any field1
  • Developers1
  • Early Career Researcher1
  • Educators1
  • Evolutionary Biologists1
  • Experimental Researchers1
  • Experts1
  • Graduate students1
  • HPC users1
  • Mainly graduate students and Junior post-docs, of either experimental or computational background, with basic training in life sciences, or (bio)chemistry, or physics, or mathematics, or engineering1
  • Members of ELIXIR-UK consortium member institutions working on ELIXIR-related projects 1
  • Participants are expected to be familiar with Linux and scripting1
  • People from any area with little or no prior computational experience1
  • PhD Scholars, Graduates and Post Graduates, Professors, Associate Professors, Assistant Professors, Bio instruments Professionals, Bio-informatics Professionals, Directors, CEO’s of Organizations, Supply Chain companies, Manufacturing Companies, Software development companies, Research Institutes and members1
  • PhD Students or young researchers in molecular biology and/or genetics with little or no background in bioinformatics. 1
  • PhD and graduate students, young researchers and PIs in the life science and computational biology field1
  • PhD students and young researchers in the life science and computational biology field who are planning to use RNA-seq data and are looking for the best practices to analyze these types of data1
  • Pharmaceutical Industry1
  • Post Docs1
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  • Postgraduate students1
  • Professionals involved in personalized molecular oncology, including laboratory managers, biologists, bioinformaticians, pathologists, geneticists, clinicians and pharmaceutical company employees.1
  • Research scientists1
  • Researchers with an interest in metabolomics and its applications1
  • TeSS community1
  • Technologists1
  • The course is open to scientists of all age from academia, health care and industry. Level approximately corresponding to PhD student or postdoc depending on experience. Applicants welcome from Sweden, the Nordics, and other countries.1
  • This course is intended for master and PhD students, post-docs and staff scientists familiar with different omics data technologies who are interested in applying machine learning to analyse these data. No prior knowledge of Machine Learning concepts and methods is expected nor required1
  • This course is oriented towards biologists and bioinformaticians. The course will be of particular interest to researchers investigating organisms without a reference genome or populations featuring high levels of genetic diversity.1
  • This training course is aimed at researchers who are not expert in proteomics and want to integrate quantitative proteomics results into wider biomedical experiments.1
  • anyone1
  • biological data analysts1
  • computational and statistical techniques are used to identify and validate the causal links between targets1
  • data steward / data manager1
  • everyone who is interested in learning to use metabolic modelling in their research, using user-friendly tools. No programming skills are required.1
  • evolutionary biologists who already have bioinformatics skills. PhD students and Post-Doc researchers will benefit the most out of this course, but applications from all candidates will be evaluated in their context1
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  • Portugal8
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