Tenders of Defense Advanced Research Projects Agency Darpa Usa

The Simulating Microbial Systems (sms) Industry Day

Materials Investigation For Novel Operations In Space (minos)

Next Generation Electronic Surveillance Technology (ngest)

Quantum Benchmarking Initiative (qbi) Proposers Day

The Purpose Of Amendment 1 To Hr001123s0045, Biological Technologies, The Biological Technologies Office’s Office-wide Broad Agency Announcement, Is To Extend The Proposal Abstract/full Proposal Deadlines And The Baa Closing Date.

The Defense Advanced Research Projects Agency (darpa) Biological Technologies Office (bto) Is Hosting An Industry Day For The Potential Proposer Community In Support Of A Planned Broad Agency Announcement (baa) For The Broad-spectrum Antagonists For Editors (b-safe) Program. The B-safe Program Aims To Develop Platform Capabilities And Tools For Discovery, Optimization, And Validation Of Broad-spectrum Inhibitors For Gene Editing Technologies. The Industry Day Will Be Held On June 28, 2024, From 9:00 Am To 5:00 Pm Et In Arlington, Va. The Event Will Also Be Webcast For Those Who Would Like To Participate Remotely. Advance Registration Is Required. Note: All Times Listed In This Announcement And On The Registration Website Are Eastern Time.

The Defense Advanced Research Projects Agency (darpa) Defense Sciences Office (dso) Is Sponsoring An Information Session Webcast To Provide Information To Potential Proposers On The Objectives Of The Anticipated Automated Prediction Aided By Quantized Simulators (apaqus) Disruption Opportunity (do). The Information Session Will Be Held Via Webcast On June 13, 2024, From 12:30 P.m. To 1:30 P.m. (eastern Time). Advance Registration Is Required To Attend The Webcast. Note That All Times Listed In This Announcement And On The Registration Website Are Eastern Time.

Artificial Intelligence Quantified (aiq) Special Notice

Electromagnetically Responsive Biology And Nanotechnologies Rfi

The Defense Advanced Research Projects Agency (darpa) Is Soliciting Innovative And Revolutionary Computational Approaches That Measure The Feasibility Of Technical Claims To Enable Accurate Assessments Of Scientific Content.