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    6 events found.

    • 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.

      Get Tickets £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

    • November 2026

      • Mon 2
      A group of flying Macaws
      AEDD01

      Analysing Ecological Data with Detection Error (AEDD02)

      Analysing Ecological Data with Detection Error (AEDD02)

      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: 4 Days, 4 hours per day
      • Next Date: November 2-5, 2026
      • Format: Live Online Format

      £350Registration Fee

      View Details
      2 November 2026 - 5 November 2026

      Analysing Ecological Data with Detection Error (AEDD02)

      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

    • 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

    • May 2036

      • Mon 5
      BMSBPR

      Bayesian Statistical Modelling with Stan and brms (BMSBPR)

      Bayesian Statistical Modelling with Stan and brms (BMSBPR)

      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: 18 Hours
      • Format: Recorded ‘on-demand’ Format

      £400Registration Fee

      View Details
      5th May 2036 - 6th May 2036

      Bayesian Statistical Modelling with Stan and brms (BMSBPR)

      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.

      Get Tickets £400.00

    • 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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