Notice NOT-HS-21-016 from the NIH Guide for Grants and Contracts

Notice NOT-MH-21-265 from the NIH Guide for Grants and Contracts

Up to GBP17.28 per hour + + 20% Uplift for Nights: SRG: We are looking for Data Scientists to join NHS Test and Trace team in Leamington Spa. Leamington Spa, England

Up to GBP17.28 per hour + + 20% Uplift for Nights: SRG: We are looking for Data Scientists to join NHS Test and Trace team in Leamington Spa. Leamington Spa, England

Funding Opportunity RFA-AG-22-014 from the NIH Guide for Grants and Contracts. The goal of this Research and Entrepreneurial Development Immersion (REDI) Small Business Technology Transfer Research (STTR) Grant is to foster the career development of early career scientists with an interest in entrepreneurship by simultaneously supporting their entrepreneurial development and facilitating their transition to industry.

Funding Opportunity RFA-AG-22-007 from the NIH Guide for Grants and Contracts. The goal of this Research and Entrepreneurial Development Immersion (REDI) Small Business Innovation Research (SBIR) Grant is to foster thecareer development of early-career scientists with an interest in entrepreneurship by simultaneously supporting their entrepreneurial development and facilitating their transition to industry.

Funding Opportunity RFA-AG-22-004 from the NIH Guide for Grants and Contracts. The purpose of the NIA Research and Entrepreneurial Development Immersion (REDI): Mentored Entrepreneurial Career Development Award is to provide support and protected time (three to five years) for an intensive, supervised career development experience in the biomedical, behavioral, or clinical sciences leading to research independence.

Funding Opportunity RFA-AG-22-003 from the NIH Guide for Grants and Contracts. The purpose of the Research and Entrepreneurial Development Immersion (REDI): NIA Entrepreneurship Enhancement Award (R25) is to promote the development of entrepreneurial training programs that are designed to broaden the skillset of graduate students and postdocs, as well as early career master's, Ph.D., and Dr.P.H. scientists, in fields relevant to the mission of NIA, including aging and Alzheimer's disease (AD) research. The goal of this program is to prepare trainees for a wide range of career paths, including those that are outside the normal research environment.

Funding Opportunity PAR-21-244 from the NIH Guide for Grants and Contracts. The purpose of the NIDA Animal Genetics Program is to identify genetic, genomic, and molecular (epi)genetic variants that underlie: 1. Phenotypes associated with addictive behaviors and/or vulnerability to distinct stages along the substance use disorder (SUD) trajectory (e.g. initial/acute use, escalation of use, acquisition of tolerance, dependence, uncontrolled use, abstinence and relapse or recovery); 2. Behaviors associated with SUD (e.g. impulsivity, novelty seeking, delayed discounting, and other genetically-associated phenotypes); and 3. Comorbidities that demonstrate genetic correlations with phenotypes and behaviors linked with SUD (e.g. anxiety, stress, poor maternal care, social defeat, and other paradigms). Applications may examine any type of variant, including single nucleotide variants (SNVs), indels, large and small structural variants, and all types of mobile DNA. NIDA encourages applications that take genomics, multi-omics, and/or data-based approaches that integrate multi-level omics data, delineate gene networks, and/or uncover the function of known or newly discovered genetic or epigenetic variants. NIDA expects these studies to uncover novel mechanisms that contribute to SUD and facilitate the discovery of targets for intervention and guide the development of individualized therapeutics to treat these different aspects of SUD.

Funding Opportunity RFA-AI-21-046 from the NIH Guide for Grants and Contracts. The purpose of this Funding Opportunity Announcement (FOA) is to stimulate fundamental research of human disease-causing pathogens in the Bunyavirales order by supporting projects studying vector competence, virology, pathogenesis, and immunity.

Funding Opportunity RFA-AG-22-019 from the NIH Guide for Grants and Contracts. This Funding Opportunity Announcement (FOA) will use the R01 funding mechanism to support discrete, specified, and circumscribed projects on novel molecular imaging approaches to establish high-resolution mapping of biomolecules in brain cells and regions during the course of aging and Alzheimers disease (AD).

Supportive mentors were key, this scientist writes

Notice NOT-MH-21-305 from the NIH Guide for Grants and Contracts

£32,557 - £35,888 per annum: Animal and Plant Health Agency: At the Animal and Plant Health Agency (APHA), we safeguard animal and plant health for the benefit of people, the environment and... Weybridge, Surrey

Dependent on experience: Etcembly: We are now looking for a Bioinformatics Analyst who will work on clinical data derived from Immune Oncology trials as part of our growing team. Oxford, Oxfordshire (GB)

Notice NOT-NS-21-074 from the NIH Guide for Grants and Contracts

Notice NOT-NS-21-075 from the NIH Guide for Grants and Contracts

Notice NOT-GM-21-052 from the NIH Guide for Grants and Contracts

Funding Opportunity RFA-RM-21-023 from the NIH Guide for Grants and Contracts. This Funding Opportunity Announcement (FOA) is associated with the NIH Common Fund Bridge2AI Program which seeks to generate flagship data sets and best practices for the collection and preparation of AI/ML-ready data to address biomedical and behavioral research grand challenges. The purpose of this FOA is to support an integration, dissemination and evaluation center which will integrate activities across Bridge2AI Data Generation Projects to develop cross-cutting products and best-practices. This FOA invites cooperative agreement applications to develop a BRIDGE Center that will be responsible for integrating activities and knowledge across Data Generation Projects, disseminating products, best-practices, and skill development materials/activities, and evaluating all aspects of the Bridge2AI program with input from external stakeholder communities. The BRIDGE Center will combine cores of expertise in administration, team science, ethics, standards, tools optimization, and skills and workforce development.

Funding Opportunity RFA-NS-21-027 from the NIH Guide for Grants and Contracts. Reissue of RFA-NS-18-019: Understanding the dynamic activity of neural circuits is central to the NIH BRAIN Initiative. The invention, proof-of-concept investigation, and optimization of new technologies through iterative feedback from end users are key components of the BRAIN Initiative. This FOA seeks applications to optimize existing or emerging technologies through iterative testing with end users. The technologies and approaches should have potential to address major challenges associated with recording and modulation (including various modalities for stimulation/activation, inhibition and manipulation) of cells (i.e., neuronal and non-neuronal) and networks to enable transformative understanding of dynamic signaling in the central nervous system (CNS). These technologies and approaches should have previously demonstrated their transformative potential through initial proof-of-concept testing and are now ready for accelerated refinement. In conjunction, the manufacturing techniques should be scalable towards sustainable, broad dissemination and user-friendly incorporation into regular neuroscience research. Proposed technologies should be compatible with experiments in behaving animals, validated under in vivo experimental conditions, and capable of reducing major barriers to conducting neurobiological experiments and making new discoveries about the CNS. Technologies may engage diverse types of signaling beyond neuronal electrical activity such as optical, electrical, magnetic, acoustic or genetic recording/manipulation. Applications that seek to integrate multiple approaches are encouraged. If suitable, applications are expected to integrate appropriate domains of expertise, including biological, chemical and physical sciences, engineering, computational modeling and statistical analysis.