Training eSupport System
  • Log In
    • Log in with LS Login
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Providers
    • Nodes
    • Spaces

TeSS makes use of some necessary cookies to provide its core functionality. Additionally, we make use of Google Analytics to discover how people are using TeSS in order to help us improve the service. To opt out of this, choose the "Allow necessary cookies" option.

See our Privacy Policy for more information.

You can modify your cookie preferences at any time here, or from the link in the footer.

Allow necessary cookies Allow all cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month
    • Scientific topic
    • High-performance computing
    • Simulation experiment4
    • Cloud computing3
    • Computer science3
    • Data management3
    • HPC3
    • High performance computing3
    • Metadata management3
    • Research data management (RDM)3
    • Bioinformatics2
    • Biological modelling2
    • Biological system modelling2
    • Exomes2
    • Genome annotation2
    • Genomes2
    • Genomics2
    • Personal genomics2
    • Synthetic genomics2
    • Systems biology2
    • Systems modelling2
    • Viral genomics2
    • Whole genomes2
    • Active learning1
    • Aerobiology1
    • Algorithms1
    • Antimicrobial stewardship1
    • Bayesian methods1
    • Behavioural biology1
    • Biodiversity1
    • Biological rhythms1
    • Biological science1
    • Biology1
    • Biomathematics1
    • Biostatistics1
    • Bottom-up proteomics1
    • Chromosome walking1
    • Chronobiology1
    • Clone verification1
    • Computational biology1
    • Computer programming1
    • Cryobiology1
    • DNA-Seq1
    • DNase-Seq1
    • Data structures1
    • Descriptive statistics1
    • Diffraction experiment1
    • Discovery proteomics1
    • Ensembl learning1
    • Epidemiology1
    • FAIR data1
    • Findable, accessible, interoperable, reusable data1
    • Gaussian processes1
    • High throughput sequencing1
    • High-throughput sequencing1
    • Imaging1
    • Inferential statistics1
    • Kernel methods1
    • Knowledge representation1
    • MS-based targeted proteomics1
    • MS-based untargeted proteomics1
    • Machine learning1
    • Markov processes1
    • Mathematical biology1
    • Medical microbiology1
    • Metaproteomics1
    • Microbial genetics1
    • Microbial physiology1
    • Microbial surveillance1
    • Microbiological surveillance1
    • Microbiology1
    • Microscopy1
    • Microscopy imaging1
    • Molecular infection biology1
    • Molecular microbiology1
    • Multivariate statistics1
    • NGS1
    • NGS data analysis1
    • Neural networks1
    • Next gen sequencing1
    • Next generation sequencing1
    • Optical super resolution microscopy1
    • Panels1
    • Peptide identification1
    • Photonic force microscopy1
    • Photonic microscopy1
    • Primer walking1
    • Probabilistic graphical model1
    • Probability1
    • Programming languages1
    • Protein and peptide identification1
    • Proteomics1
    • Public health1
    • Public health and epidemiology1
    • Quantitative proteomics1
    • Rare diseases1
    • Recommender system1
    • Reinforcement learning1
    • Reproductive biology1
    • Sanger sequencing1
    • Sequencing1
    • Show N_FILTERS more
    • Content provider
    • ELIXIR-SI eLearning Platform (EeLP)3
    • Show N_FILTERS more
    • Keyword
    • EeLP3
    • eLearning3
    • Containers1
    • HPC1
    • Workflows1
    • biostatistics1
    • high-performance computing1
    • machine learning1
    • Show N_FILTERS more
    • Competency level
    • Beginner
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution Non Commercial No Derivatives 4.0 International3
    • Show N_FILTERS more
    • Target audience
    • Life Science Researchers
    • Bioinformaticians8
    • Data Managers8
    • Data Scientists8
    • Research Scientists8
    • Biomedical Researchers7
    • Trainers3
    • Training Designers3
    • Training instructors3
    • Beginner2
    • Ontologists2
    • Bench biologists1
    • Biomedical researchers1
    • Clinical Scientists1
    • Clinicians1
    • Graduate Students1
    • PhD Students1
    • Researcher1
    • Students1
    • System administrators1
    • beginner bioinformaticians1
    • biocurators1
    • statisticians1
    • web developers1
    • Show N_FILTERS more
    • Author
    • Alan O'Cais1
    • Damjan Harisch1
    • Fotis Psomopoulos1
    • Javi Conejero1
    • Leon Kos1
    • Tuur Muyldermans / Alexander Botzki1
    • Show N_FILTERS more
    • Resource type
    • Training materials3
    • Show N_FILTERS more
    • Node
    • Slovenia3
    • Belgium1
    • Greece1
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Show materials with broken links
  • Show archived materials

Training materials

  • Subscribe via email

Email Subscription

Register training material

Scientific topics: High-performance computing

and Competency level: Beginner

and Target audience: Life Science Researchers

3 materials found
  • Training materials

    Machine Learning & BioStatistics Hackathon 2020

    ELIXIR node event
    • Beginner
    Machine learning Statistics and probability Computer science machine learning biostatistics eLearning EeLP
  • Training materials

    HPC Hackathon Materials

    ELIXIR node event
    • Beginner
    Computer science HPC high-performance computing eLearning EeLP
  • Training materials

    Containers and Workflows training materials hackathon

    ELIXIR node event
    • Beginner
    Computer science Containers Workflows eLearning EeLP
Training eSupport System
[email protected]
Contribute
About TeSS
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
Source code
API documentation
Bioschemas testing tool

TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.