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PAT and process modelling (incl. AI/ML-assisted process development)
Suggested starting points, not a ranking
Process analytical technology, in-line monitoring, mechanistic and data-driven models, and AI/ML for process development. Each item is listed because its official text (or the call text on this site) mentions this theme: the matching sentence and its source are shown. Grouped by how open the route is, alphabetical within each group. This is not a ranking of companies or organisations.
Related open calls on this theme
2 calls on this page, the same set as the list below. Only listed calls whose official text is tagged with this theme (from sourced evidence) are counted. These are open funding calls on this site, not grants offered by the companies or consortia on this page. Month chips are dated deadlines in the next 6 months only; rolling calls are not in the strip. Status segments jump to the matching section on this page.
Deadlines in the next 6 months
- Nov 20260
- Dec 20260
- Jan 20270
- Feb 20270
- Mar 20270
- Apr 20270
View as a table
| Group | Item | Calls |
|---|---|---|
| Status | open with a deadline | 0 |
| Status | rolling / any time | 2 |
| Status | opening soon | 0 |
Open to apply (5)
- CompanyAstraZeneca Matched text:
It describes using machine learning to predict and optimise chemical reactions, to reduce waste, energy use and unwanted byproducts (archived page).
source - CallEnabling Technologies Consortium (ETC) RFI/RFPs and third-party project proposals Matched text:
Recent requests covered crystal solubility prediction and solid–liquid separation.
source - CompanyMerck & Co., Inc. Matched text:
Optimization (APO) for Pharmaceutical Development", which it describes as applying data science and modeling, including Bayesian Optimization, to pharmaceutical process design.
source - CompanyPfizer Inc. Matched text:
Pfizer lists advanced process analytical technologies (PAT), sensor integration and microfluidic sample handling compatible with continuous manufacturing, inline
source - CallRinn Pharma & Biopharma (ex-SSPC) PhD positions Matched text:
Drug Particle Engineering, Dosage Form Design, Predictive Materials Design & Model-Driven Process Control.
source
Ideas welcome (1)
- Consortium or centreNational Institute for Pharmaceutical Technology & Education (NIPTE) Matched text:
A consortium of top universities advancing pharmaceutical science, technology and manufacturing, including continuous manufacturing and AI-enabled manufacturing.
source
Playbooks (1)
- PlaybookHow to engage the Enabling Technologies Consortium (ETC)Matched text:
device for continuous manufacturing (17 Jul 2026), an automated solid–liquid separation device (28 Aug 2026) and solubility prediction of multicomponent crystals (28 Aug 2026).
source