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Find similar grantsThe HELP program provides energy-efficient products and services for residential customers in need to reduce energy use, save money, and improve home comfort. This program supplements state and federal income-qualified weatherization programs.
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Or search similar grants →According to the current listing, eligibility includes: AEP Ohio residential customers enrolled in an AEP Ohio residential electric rate, living in a single-family residence, townhome, or individually metered multifamily dwelling, and having a household income less than or e…. Confirm the full requirements in the official notice before applying.
High Efficiency for Low-income Program (HELP) is funded by AEP Ohio. Verify program details on the funder's official page before applying.
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IA Resilience call reinforcing Europe's strenght in health is sponsored by European Commission — Horizon Europe. Expected Outcome: the proposals under this call are expected to address one or more of the following subjects : • Enhanced personalized monitoring, care and treatments, focusing on the development of highly customized healthcare solutions, including the required research and diagnostic tools, tailored to individual needs, covering various scenarios such as chronic disease management, physiotherapy, precision diagnosis, personalized medicine/treatment, pre- and postoperative care, and daily assistance in homes and common spaces. It also targets effective management of chronic diseases and elderly care through personalized monitoring and interventions facilitated by advanced sensor technologies and edge-to-cloud solutions. This includes the development and integration of solutions for Hospitalization at Home, enabling patients to receive complex, remotely supervised care using intelligent medical devices capable of sensing, analysing, and transmitting real-time data. This requires a continuum, from in-hospital diagnostics to robust, long-term patient support at home via AI-driven care pathways and hospitalization at home. • Prevention and treatment of diseases, allowing the improved scientific understanding, early detection and proactive prevention of diseases through scientific research, continuous monitoring, predictive analytics, and timely alerts, possibly powered by AI algorithms. This preventive approach enables early intervention and significantly reduces risks associated with many illnesses such as viral infections (e.g. epi- and pan demics), cardiovascular diseases, diabetes complications affecting the health of the young and old. • Efficient, scalable, and cost-effective healthcare, demonstrating how ECS-based technologies can streamline clinical workflows, reduce administrative burdens, and improve resource allocation in healthcare systems. This includes automation and intelligent operations management across clinical, diagnostic, and homecare settings, ultimately improving cost-effectiveness and scalability. • Secure and compliant healthcare continuum, including solutions that ensure robust data protection and regulatory compliance (e.g. GDPR), particularly in handling sensitive health data. Projects should adopt privacy-by-design principles and implement secure data handling architectures using localized edge computing, encryption, authentication, and anonymization strategies within both clinical and assisted living environments. • Seamless interoperability across devices, systems, and platforms, addressing the integration of heterogeneous systems across the edge-to-cloud continuum. Solutions should rely on open standards and modular architectures to ensure interoperability, flexibility, and adaptability across various healthcare settings and use cases, fostering a unified European health-tech ecosystem. Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Digital, Industry and Space
The Meta Research PhD Fellowship supports doctoral students conducting research in areas central to Meta's technical agenda, with several of its annual award tracks dedicated to artificial intelligence and machine learning. Current AI-relevant tracks include AI System Hardware/Software Co-Design (high-performance AI algorithms spanning model compression, numerical optimization, benchmarking, and distributed inference and training), Applied Statistics (bias and variance estimation and correction in models and datasets, uncertainty quantification), AR/VR Human Understanding (efficient ML techniques that run on AR/VR devices), and Programming Languages (program synthesis, probabilistic and differentiable programming). Recipients receive two years of paid tuition and fees, a $42,000 annual stipend covering living expenses and conference travel, and a paid visit to Meta headquarters for the annual Fellowship Summit; the award carries no intellectual property claim on the student's research. The 2027 cycle opened August 3, 2026 with applications closing September 20, 2026, reference letters due in October 2026, and winners notified in January 2027.