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6 events found.

  • May 2026

    • Tue 5
    BMSB01

    Bayesian Statistical Modelling with Stan and brms (BMSB01)

    Bayesian Statistical Modelling with Stan and brms (BMSB01)

    Bayesian Statistical Modelling with Stan and brms is an advanced R course for researchers covering Bayesian model building, diagnostics, and interpretation using Stan and brms.

    • Duration: 3 Days, 6 hours per day
    • Next Date: May 5-7, 2026
    • Format: Live Online Format

    £400Registration Fee

    View Details
    5 May 2026 - 6 May 2026

    Bayesian Statistical Modelling with Stan and brms (BMSB01)

    Delivered remotely (United Kingdom) Western European Time, United Kingdom

    Bayesian Statistical Modelling with Stan and brms is an advanced R course for researchers covering Bayesian model building, diagnostics, and interpretation using Stan and brms.

    £400.00

  • June 2026

    • Mon 1
    Small bird in the snow
    SPMP02

    Introduction to Processing and Analysis of Spatial Multiplexed Proteomics Data (SPMP02)

    Introduction to Processing and Analysis of Spatial Multiplexed Proteomics Data (SPMP02)

    Learn spatial multiplexed proteomics data analysis with CODEX, CycIF, and MACSIMA. Master image processing, segmentation, phenotyping, and spatial analysis in R and Python.

    • Duration: 5 Days, 5.5 hours per day
    • Next Date: June 1-5, 2026
    • Format: Live Online Format

    £450Registration Fee

    View Details
    1 June 2026 - 5 June 2026

    Introduction to Processing and Analysis of Spatial Multiplexed Proteomics Data (SPMP02)

    Delivered remotely (United Kingdom) Western European Time, United Kingdom

    Learn spatial multiplexed proteomics data analysis with CODEX, CycIF, and MACSIMA. Master image processing, segmentation, phenotyping, and spatial analysis in R and Python.

    Get Tickets £450.00

  • September 2026

    • Mon 21
    A group of Water Buffalow
    BMIN04

    Bayesian Modelling Using R-INLA Course (BMIN04)

    Bayesian Modelling Using R-INLA Course (BMIN04)

    Learn Bayesian modelling with the R-INLA package. Build, fit, and interpret INLA models, define priors and latent effects, and apply INLA to real data in a five day course.

    • Duration: 5 Days, 7 hours per day
    • Next Date: September 21-25, 2026
    • Format: Live Online Format

    £500Registration Fee

    View Details
    21 September 2026 - 25 September 2026

    Bayesian Modelling Using R-INLA Course (BMIN04)

    Delivered remotely (United Kingdom) Western European Time, United Kingdom

    Learn Bayesian modelling with the R-INLA package. Build, fit, and interpret INLA models, define priors and latent effects, and apply INLA to real data in a five day course.

    £500.00

  • October 2026

    • Mon 19
    A group of fruit bats
    BIAC06

    Bioacoustics Data Analysis (BIAC06)

    Bioacoustics Data Analysis (BIAC06)

    Analyse animal acoustic signals in R. Learn spectrograms, annotations, and bioacoustic workflows.

    • Duration: 5 Days, 4 hours per day
    • Next Date: October 19-23, 2026
    • Format: Live Online Format

    £400Registration Fee

    View Details
    19 October 2026 - 23 October 2026

    Bioacoustics Data Analysis (BIAC06)

    Delivered remotely (United Kingdom) Western European Time, United Kingdom

    Analyse animal acoustic signals in R. Learn spectrograms, annotations, and bioacoustic workflows.

    Get Tickets £400.00

  • September 2035

    • Sun 23
    A group of flying Macaws
    AEDDPR

    Analysing Ecological Data with Detection Error (AEDDPR)

    Analysing Ecological Data with Detection Error (AEDDPR)

    Learn to analyse ecological field data with detection error using R. Work with point counts, ARU data, N-mixture models, distance sampling and time-removal methods.

    • Duration: 16 hours
    • Format: Recorded ‘on-demand’ Format

    £350Registration Fee

    View Details
    23rd September 2035 - 25th September 2035

    Analysing Ecological Data with Detection Error (AEDDPR)

    Delivered remotely (United Kingdom) Western European Time, United Kingdom

    Learn to analyse ecological field data with detection error using R. Work with point counts, ARU data, N-mixture models, distance sampling and time-removal methods.

    Get Tickets £350.00

  • October 2036

    • Sat 25
    A group of flying Macaws
    DLURPR

    Deep Learning using R (DLURPR)

    Deep Learning using R (DLURPR)

    Learn deep learning in R using the torch ecosystem. Build MLPs, CNNs and transformer models through hands-on coding and gain practical skills for real research workflows.

    • Duration: 12 hours
    • Format: Recorded ‘on-demand’ Format

    £300Registration Fee

    View Details
    25th October 2036 - 26th October 2036

    Deep Learning using R (DLURPR)

    Delivered remotely (United Kingdom) Western European Time, United Kingdom

    Learn deep learning in R using the torch ecosystem. Build MLPs, CNNs and transformer models through hands-on coding and gain practical skills for real research workflows.

    Get Tickets £300.00

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