Closed

Horizon 2020👥 Consortium Required (Min. 3 EU Countries)

A European standardization framework for data integration and data-driven in silico models for personalized medicine → QIAGEN GMBH

Opportunity overview

Recipient: QIAGEN GMBH • Role: participant • EC contribution: €22,500 • Project: EU-STANDS4PM • Objective: The capacity to generate data in Life Sciences and health research with modern omics and imaging technologies has increased many orders of magnitude in the last decade. In c

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EU Fund Portal Signals

Is this worth the team's time?

Directional signals based on the call structure, available source text, and deadline pressure. These are not funding guarantees.

Source language: EnglishConfidence: Medium

Competition

5/ 5

Niche Opportunity

5 means a narrower, more approachable field. 1 means heavy competition.

Application Effort

1/ 5

Very Simple

1 is straightforward. 5 means a demanding application with heavier coordination or compliance.

Why competition looks like this

Confidence: Medium

The call looks specialized, which can narrow the field of credible applicants.
TRL requirements and cross-border consortium specifications restrict eligible applicant pools.
Budget allocations indicate high proposal success probabilities for specialised applicants.

Why effort looks like this

Confidence: Low

Built from the available grant metadata and call structure.
Submission dossier requires multi-partner budget synchronization and work package signoffs.
Administrative guidelines impose formal SME compliance declarations and financial audits.

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Consortium

Probably not required

Co-funding

Not clearly indicated

Documentation

Low

Deadline pressure

Closed

Eligibility scope

Narrow

Technical depth

Low

Eligibility

Awarded

Application deadline

13/11/2018

Deadline expired

Key information

Value of call: €23k
Sector: Other
Country: DE
Funder: European Commission (Horizon 2020)

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Tracked by EU Fund Portal since 21/09/2026

Last checked 21/09/2026

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A European standardization framework for data integration and data-driven in silico models for personalized medicine → QIAGEN GMBH | EU Fund Portal