Data Science

The ASM Bioinformatics, Genomics and Big Data Conference brings the microbiology community together around bioinformatics, genomics, and large-scale data methods, with registration open for the 2026 meeting in Washington, DC.

The 36th Astronomical Data Analysis Software and Systems conference brings together developers and users of astronomical software, algorithms and data systems. ICRAR hosts the meeting with SKAO, CSIRO and AusSRC. The programme includes research presentations, tutorials and community discussions. General registration remains open until 15 October 2026, and poster abstracts close on 1 October; the early-bird period has ended. Online registration is also available.

Reproducible research can turn scientific observations into reliable, reusable knowledge. This talk presents ReproNim and related community infrastructure for sharing data and computational workflows. It examines versioned, re-executable analysis at scale using OpenNeuro, together with harmonization and querying across dozens of research sites. ReproLakes and ReproPonds combine public and private metadata stores with FAIR and reproducible practices to improve discovery and reuse. The discussion addresses both technical obstacles and research-culture challenges, offering practical approaches for making shared scientific resources more useful and accelerating cumulative discovery.

Researchers and practitioners will discuss mathematical foundations of data science, including high-dimensional geometry, dimensionality reduction, scalable algorithms, uncertainty and machine learning. The conference takes place in person at the Salt Palace Convention Center on 16–20 November 2026. Registration is open, with early rates through 19 October; abstract and travel-support deadlines have passed. Registration also covers the co-located SIAM Imaging Science and Data Mining conferences.

CSIRO seeks an early-career researcher to integrate agricultural trial, field-survey, sensor, UAV and satellite data for Australian dryland farming systems. Research includes data management, data-driven and process modelling, indicators beyond productivity, and analysis of constraints and risks in crop and mixed crop-livestock systems. Canberra, Australia; full-time, three-year appointment. Salary AU$103,000–113,000 annually plus 15.4% superannuation. Flexible arrangements may be discussed. Applications close 4 October 2026 at 23:00 AEDT. Submit a CV and cover letter of at most two pages via the employer’s Apply now link; an applicant account is required. Reference 103800.

CERN's CMS experiment is recruiting a scientist to deliver near-real-time, offline-quality detector calibrations for the High-Luminosity LHC High-Level Trigger. The role maintains the Next-Generation Trigger demonstrator, develops calibration algorithms with CMS detector and physics-object groups, designs a production data-acquisition and calibration system, and tests its integration and physics performance. The 24-month hybrid appointment is based in Geneva with an ideal start date of 1 January 2027. Applications close on 5 October 2026 at 23:59 Geneva time.

Help Danish research institutions recruit faculty and establish independent research groups in life sciences, medicine and other fields relevant to health or sustainability, including data science and AI. Four-year support is capped at DKK 5 million for assistant professors, DKK 8 million for associate professors and DKK 10 million for full or eligible clinical professors. The institution’s appointment authority must apply for an identified candidate. The deadline is 8 October 2026 at 2 p.m. Copenhagen time.

Innovate UK funds preparatory work to establish the Medicines Manufacturing Data Institute, a secure national hub for sharing and using medicines-development and manufacturing data. Phase 1 supports consortium formation and preparation of a phase 2 proposal. The competition has a total funding pool of GBP 500,000; this is not a per-project award claim. UK registered businesses, academic institutions, research and technology organisations, charities, nonprofits and public-sector organisations may lead or apply alone. Applications opened on 7 September and close on 14 October 2026 at 11:00 UK time.

The University of Tasmania is recruiting a Senior Research Fellow or Principal Research Fellow for the Australian Forest and Wood Innovations Centre for Sustainable Resource and Product Solutions. Over four years, the role will turn multi-sensor LiDAR, imaging analytics and geospatial research into practical improvements in forest inventory, monitoring and decision-making. Applicants may come from academia, industry, consulting, government or applied research. Lead projects and teams, build industry partnerships, mentor colleagues and secure research or commercial support. Appointment is at Academic Level C or D, with a base salary of AUD 138,536–180,018 plus 17% superannuation; relocation support may be available. Apply with a current résumé and a cover letter of up to two pages addressing the relevant position description. Applications close at 11:55 pm Tasmania daylight time on 18 October 2026.

Help Danish research institutions recruit faculty and establish independent research groups in life sciences, medicine and other fields relevant to health or sustainability, including data science and AI. Four-year support is capped at DKK 5 million for assistant professors, DKK 8 million for associate professors and DKK 10 million for full or eligible clinical professors. The institution’s appointment authority must apply for an identified candidate. The deadline is 8 October 2026 at 2 p.m. Copenhagen time.

The National Library of Medicine supports computational methods that make biomedical research assets easier to curate and reuse at scale. Projects can address data, software and models through scalable, reliable approaches, including machine learning. Clinical trials are excluded. The award supports up to USD 250,000 in direct costs per year for up to four years. The next deadline available to new applications is 15 January 2027; the October 2026 date is for resubmissions and related application types.

Reproducible research can turn scientific observations into reliable, reusable knowledge. This talk presents ReproNim and related community infrastructure for sharing data and computational workflows. It examines versioned, re-executable analysis at scale using OpenNeuro, together with harmonization and querying across dozens of research sites. ReproLakes and ReproPonds combine public and private metadata stores with FAIR and reproducible practices to improve discovery and reuse. The discussion addresses both technical obstacles and research-culture challenges, offering practical approaches for making shared scientific resources more useful and accelerating cumulative discovery.