Grant Analysis Report

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Detailed Analysis

Overall
65
C
SEO
70
25%
Performance
65
25%
Mobile
75
15%
Security
80
20%
seo
70
performance
65
mobile
75
security
80

SEO Analysis

Title Tag

Length: 53 characters (Optimal: 40-60)

Meta Description

Length: 160 characters (Optimal: 120-160)

H1 Headings

Found: 1 H1 tag

Heading Hierarchy

H1: 1, H2: 4, H3: 3

PageSpeed Insights (Placeholder)

Desktop Score 71
Mobile Score 81

* Placeholder data. Integrate PageSpeed Insights API for real metrics.

Meta Tags Analysis

Tag Status Details
TitleGood53 chars
DescriptionGood160 chars
H1Present1 found
H2-H6Present8 headings

Image Analysis

Alt Tags
Missing: 0 / Total: 0
File Sizes
Optimized: Yes
WebP Usage
Enabled
Lazy Loading
Implemented

Link Analysis

2
Total Links
1
Internal
4
External
0
Broken
Note: Broken link checking requires external API integration

Mobile-Friendliness

Viewport Set

Width=device-width, initial-scale=1

Mobile Friendly

Page passes mobile-friendly test

Tap Targets

Adequate spacing between links

Font Size

Readable without zooming

SSL/TLS Certificate

Status
Valid
Issuer
Let's Encrypt
Grade
A+

Security Headers

Header Status Grade
HSTSPresentA
CSPPresentA
X-Frame-OptionsPresentA
X-Content-TypePresentA
Referrer-PolicyPresentA
Permissions-PolicyMissingC

Technology Stack

CMS/Framework
Symfony
Server
Nginx
PHP Version
8.3
Database
PostgreSQL

DNS Records (Placeholder)

A Record
172.16.0.1
MX
mail.example.com
NS
ns1.example.com

* DNS data requires external API integration

WHOIS Data (Placeholder)

Registrar
Example Registrar
Registration Date
2020-01-01
Expiry Date
2027-01-01
Days Until Expiry
348

* WHOIS data requires external API integration

Core Web Vitals

LCP
1952ms
Needs Improvement
FID/INP
196ms
Good
CLS
0.000
Good
FCP
1905ms
Good

* Placeholder values. Integrate PageSpeed Insights API for real Core Web Vitals data.

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Advertisement
Open · 170 days left D U.S. National Science Foundation

Research Training Groups in the Mathematical Sciences

Funding
$12.0M
Award Range
$400,000 – $600,000
Expected Awards
10
Deadline
--
Days
--
Hrs
--
Min
--
Sec
Aug 11, 2026
Posted May 3, 2024 (659 days ago)
Closes Aug 11, 2026 (in 170 days)

Grant Details

Opportunity Number
24-570
CFDA / ALN
47.049
Opportunity Category
Discretionary (D)
Funding Category
Science and Technology (ST)
Funding Instrument
Grant (G)
Cost Sharing
No Cost Sharing (No)

Eligibility

Others (25)

*Who May Submit Proposals: Proposals may only be submitted by the following: - Institutions of Higher Education (IHEs) accredited in, and having a campus located in the US, acting on behalf of their faculty members. <ul> <li>For proposals submitted by a single U.S.-based IHE, with or without subawards, it is required that the proposing IHE grant a doctoral degree in the mathematical sciences.</li> <li>For collaborative projects involving separately submitted collaborative proposals, the lead institution must grant a doctoral degree in mathematical sciences. Non-lead proposals may come from U.S.-based IHEs that do not grant a doctoral degree in mathematical sciences.</li> </ul> *Who May Serve as PI: No restrictions on Principal Investigators. At least two and no more than eleven additional senior/key personnel are required for project activities and management. For Collaborative projects, the lead institution must grant a doctoral degree in mathematical sciences. Participating trainees (undergraduates, graduate students, and postdoctoral associates) supported with NSF funds in RTG must be citizens, nationals, or permanent residents of the United States or its territories and possessions.

Description

The long-range goal of the Research Training Groups in the Mathematical Sciences (RTG) program is to strengthen the nation's scientific competitiveness by increasing the number of well-prepared U.S. citizens, nationals, and permanent residents who pursue careers in the mathematical sciences, be they in academia, government, or industry. The RTG program supports efforts to improve graduate student research training and professional development through structured groups pursuing collaborative research. In addition to graduate student trainees working with faculty members, RTG supported research teams may, but are not required to, include undergraduate or postdoctoral trainees. The RTG program invites submissions in all fields within mathematical sciences; especially encouraged in 2024-2025 are those that align and integrate research in mathematics and statistics with emerging areas such asArtificial Intelligence, Biotechnology,Quantum Computing, and Cybersecurity.
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