Computational biology & AI grants

Bilateral SNSF–Australia call for research on AI-supported healthcare. Requires collaboration between Swiss and Australian research teams. Clinical/health-data focus likely.

Open to consortia of Luxembourg-based private companies and public research institutions. Covers R&D in data analytics/HPC, AI (ML, computer vision, NLP, edge AI), and quantum technologies. Projects must be industrial research and/or experimental development. SMEs leading a project may receive 30% upfront payment. Self-funded international partners may participate. Proposals submitted via research-industry-collaboration.lu platform.

Open to principal investigators at three career levels (Emerging, Ascending, Distinguished). Host institution must be in Denmark. Applicants must apply to the correct career-level category in the NORMA system; applications will not be transferred between categories. Covers data science research.

Open to English Higher Education Providers registered with OfS (approved fee cap) and, under HERA 2017 s.97(3), organisations with strong KE/commercialisation metrics expertise. Applications can be collaborative or independent, but only eligible English HEPs or organisations may lead. Funds a national KE metrics advisory unit to design next-generation KE data tools, commercialisation metrics (spinouts, patents), and AI-based analytical approaches for policy and institutional funding.

Supports researchers at the career development stage across a broad range of disciplines (biomedical, clinical, social sciences, arts & humanities, data sciences). Applications managed in English via the Wellcome Funding platform; host organisation must administer the grant. Global eligibility; UK-hosted awardees may access Global Talent visa endorsement.

Supports hybrid quantum-classical computing R&D aligned with UK National Quantum Strategy Mission 1. Lead research organisation must be UK-based; project partners (industry, academia, government, third sector) in UK or overseas are welcome. Named partners expected to provide financial or in-kind leverage. No matched funding requirement beyond standard 20% FEC. Latest project start date 1 February 2027.

Open to early-career scientists worldwide (<5 years mentored research post-PhD at award activation) at non-profit institutions. Supports dual training in cancer immunology and computational biology/data science. No citizenship restrictions. Must be conducted under a sponsor holding assistant professor or higher rank. Proposals must be hypothesis-driven in basic or translational cancer immunology.

Horizon Europe RIA under the Cancer Mission. Requires development of multiscale AI-integrated Virtual Human Twins for cancer onset, progression and personalised treatment. Proposals must include clinical study annex if clinical studies are envisaged. Interdisciplinary consortia including healthcare professionals, patient representatives, AI experts and SMEs expected. Open science principles mandatory; data must be shared via UNCAN.eu and Advanced VHT Platform.

Main applicant must be affiliated ≥80% FTE with a Danish university, hospital, or non-profit organisation. 1–2 co-applicants required (domestic or international non-profit). At least one party must have expertise in synchrotron-based crystallography. Projects must fall within biomedicine, health, sustainability, biotechnology, natural/technical, or data science; non-health/sustainability science must describe potential future applications in those areas.

Clinical validation of known oncology biomarkers (TRL5/6) for use in daily clinical practice. Requires multidisciplinary consortium of ≥4 parties, mandatory early HTA, patient involvement (PACO review = 30% of score), and biostatistics expertise. AI-component projects must engage the AI4HEALTH consortium. Dutch host institutions implied; public-private collaborations encouraged with co-funding.

EuroHPC call on Quantum Machine Learning, co-financed by the Research Council of Norway with NOK 12 million for Norwegian participants. International consortium required.

EuroHPC call on quantum machine learning. Norwegian participation is co-financed by the Research Council of Norway with NOK 12 million. Norwegian host institution required for the Norwegian funding component.

Main applicant or at least one co-applicant must be a data science/computational science researcher employed at a Danish university or institution during the project period. Supports data science methods development and/or applications in life science, biomedical/health science, sustainability, agriculture, and related NNF focus areas. Projects focused on finance, surveillance, defence, gaming, or cybersecurity are out of scope.

For Professors with their own research group, primarily employed in Denmark at a university or non-profit research institution. Covers data science, AI, computational science, and applications in life/health/sustainability sciences. Applicants must be full-time researchers and contribute to educational activities in data science in Denmark. Projects in finance, surveillance, defense, gaming, etc. are out of scope.

For Professors (all ages) with own research group, primarily employed in Denmark at a university or non-profit research institution. Covers data science, AI, computational science, and applications in life/health/sustainability. Applicants must contribute to educational/training activities in data science in Denmark. Full-time commitment required.

Provides GPU compute access (no cash funding) on the Isambard-AI cluster for AI-driven scientific discovery. Open to UK-registered businesses, UKRI-eligible research organisations, charities, and not-for-profits. Project lead must hold a contract longer than the proposed project and be at lecturer/equivalent level or above. Priority areas: AI for scientific discovery, engineering biology, fusion energy, materials science, medical research, quantum technology.

For starting group leaders (senior postdocs, senior researchers, assistant professors) with 4–8 years post-PhD. Applicant must be employed and based in Denmark at a university or non-profit research institution. Covers data science, computational science, AI, bioinformatics applied to NNF focus areas (health, sustainability, life science). Must contribute to data science education in Denmark.

Contracts for bioinformatics technical support staff at accredited Health Research Institutes (IIS) in Spain. Host institution must hold ISCIII IIS accreditation. Part of AES-LEIS 2024-2027 technical staff sub-programme.

Build capability, data and evidence to monitor and evaluate the UK's Industrial Strategy. Disciplines: economics, data science, social research, statistics, applied mathematics. UK government-hosted fellowship.

For Associate Professors or experienced Assistant Professors with 7–15 years post-PhD. Applicant must be employed and based in Denmark at a university or non-profit research institution. Covers data science, computational science, AI, bioinformatics applied to NNF focus areas. Must contribute to data science education in Denmark.

For outstanding Professors with 15+ years post-PhD and a track record of international leadership. Applicant must be employed and based in Denmark at a university or non-profit research institution. Covers data science, computational science, AI, bioinformatics applied to NNF focus areas. Must contribute to data science education in Denmark.