Verified current Workshop

Stochastic Numerics and Statistical Learning Workshop 2026

KAUST’s 2026 Stochastic Numerics and Statistical Learning workshop convenes researchers working on stochastic algorithms, numerical analysis, statistical learning and related applications.

Workshop Hybrid Full source details
King Abdullah University of Science and Technology Thuwal, Saudi Arabia Verified 2 weeks ago
✓ 100% verification score · Source: KAUST · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
CountrySaudi Arabia

Workshop format & key facts

Organized details
FormatHybrid
ParticipationAttendee
RegistrationSelection
Venue / platformKAUST, Thuwal
Focus areas
stochastic algorithmsstatistical learningoptimizationBayesian inferenceclimate modellingcomputational finance
Benefits
Research talksPoster sessionsHybrid access

Overview

KAUST’s 2026 Stochastic Numerics and Statistical Learning workshop convenes researchers working on stochastic algorithms, numerical analysis, statistical learning and related applications.

Complete workshop details

The workshop is scheduled for 22 November–2 December 2026 at KAUST with hybrid participation and streamed talks. It includes climate applications, computational finance and poster sessions. The official page lists 1 November as the poster title-and-abstract deadline; general registration is subject to limited-space acceptance.

Eligibility requirements

Researchers, students and faculty in relevant mathematical, statistical, computing and application areas may register; space is limited and registration does not guarantee acceptance.

Tips for this workshop

Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.

  1. Check prerequisites, required software/equipment and any pre-work before registering.
  2. Prefer the official registration page and confirm whether places are limited, paid, refundable or certificate-bearing.
  3. Bring the required files, accounts or development environment ready so hands-on time is not lost to setup.

Verification notes

KAUST's current event page confirms the postponed November–December dates, hybrid format, registration and poster deadlines.

Original authoritative source

Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.

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