Cheminformatics

Fourteen linked symposia connect materials synthesis, characterisation, modelling and properties with applications in energy, health, transport, housing, electronics and environmental protection. The programme spans polymers and organic composites, glasses and ceramics, porous and nanoscale materials, microstructure design, processing, and surface durability. Scientific contributions examine how modern atomistic simulations can bridge the cooling-rate gap between models and experiments in disordered solids, including the challenges of thermal transport and quantum effects. Surface studies combine electron and ion spectroscopy, scanning tunnelling microscopy, electrochemistry and density-functional calculations to connect atomic-scale corrosion mechanisms to macroscopic degradation and protective strategies. Other sessions investigate photocatalysis, recycling and sustainable energy materials. Times are Europe/Paris (CET, UTC+1). The opening ceremony starts at 08:30 on 16 November, followed by a plenary at 09:30. Plenaries on 17–20 November start at 08:30. Parallel sessions run across the week, with Friday's final scientific block at 10:00–12:00. The programme is provisional. Full-congress fees including VAT are EUR 385 for students/doctoral researchers, EUR 671 for academics and EUR 891 for industry through 9 October; from 10 October academic and industry rates rise to EUR 770 and EUR 1,001. Day tickets cost EUR 385 or EUR 495 and cannot be used by oral or poster presenters, who must register for the full congress. The gala dinner is extra. Purchase-order payments are not accepted after 15 October.

Tenure-stream appointment beginning July 1, 2027, focused on statistical mechanics applied to chemical systems. Develop theoretical and computational research on molecular structure, dynamics and collective behaviour, potentially including nonequilibrium phenomena, soft matter and biomolecular systems. Responsibilities include an independent externally funded research programme, teaching and service. A relevant PhD and evidence of research and teaching excellence are required. Salary: CAD 130,000–170,000 annually. Apply online with a cover letter, CV, research statement, teaching dossier, equity and diversity statement, and three referees. All materials and reference letters are due November 2, 2026, 11:59 p.m. Eastern Time. Canadians and permanent residents receive priority.

Study solid polymer electrolytes for metal-anode batteries using molecular dynamics and density-functional theory. The project connects chemical structure with electrolyte properties to identify improved battery materials. This master’s fellowship is based at the Institute of Chemistry in Araraquara and requires full-time dedication. Applications remain open until 30 November 2026. Follow the investigator’s application instructions to submit a Lattes CV, transcript and brief cover letter. A relevant undergraduate degree must be completed by the beginning of the January 2027 academic term; prior simulation experience is helpful but not compulsory.

Lead computational chemistry contributions to drug programmes from early discovery towards candidate selection. Combine structure-based and ligand-based design with AI predictions, work closely with machine-learning scientists and experimental teams, and guide external research activities. The role includes scientific leadership and mentoring. The employer’s exact vacancy is currently accepting applications without a stated fixed deadline.

Build machine-learning and computational-chemistry software supporting molecular property prediction, virtual screening, reaction optimisation and drug design. Work spans production pipelines and methods such as molecular dynamics, docking, free-energy calculations and retrosynthesis, in collaboration with discovery scientists. The advertised salary range is USD 200,000–241,500. Applications are currently available; no fixed deadline is stated.

EMBL-EBI seeks a scientific developer for the Open Targets Safety 2.0 project. The role builds machine-learning and data-processing pipelines that extract drug side-effect evidence from publications, clinical trials and drug labels, map it to biomedical ontologies, and integrate results with ChEMBL and the Open Targets Platform. The researcher will help curate training data, collaborate with pharmaceutical partners and communicate methods and results. This is a full-time hybrid role based in Hinxton, UK. The advert gives a closing date of 11 October 2026 at 23:59 CET.