Format CVs for academic positions with publications, grants, and teaching
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Convert a job description into hard eligibility conditions, required/preferred criteria, role responsibilities, and an evidence map without arbitrary weighted match scores.
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Extract:
Classify each: Meets / Does not meet / Unclear.
Classify statements as:
Do not infer "critical" solely from keyword repetition. Repeated words may reflect writing style rather than hiring weight.
Extract the actual work:
For each criterion, mark:
Example:
| Criterion | Type | Candidate evidence | Strength |
|---|---|---|---|
| Python | Required | FastAPI + ML projects | Direct |
| AWS | Preferred | AWS re/Start credential | Indirect |
| 2 years production experience | Required | Student internships | Missing |
Identify terminology worth using exactly when truthful:
Do not target a fixed repetition count.
Surface:
You may summarize coverage as counts, e.g. "6 required criteria have direct evidence, 1 indirect, 1 missing." Do not label this an ATS score or hiring probability.
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Format CVs for academic positions with publications, grants, and teaching
The English summary is being prepared. Showing the original description.
Decides whether to apply to a specific role, with what level of effort, and with which resume variant. Prevents wasted applications on roles with fundamentally poor fit and prioritizes high-probability opportunities.
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Decide how to prioritize job applications using hard eligibility, evidence coverage, role alignment, and real application outcomes rather than arbitrary fit scores.
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Define a clear primary role identity and supporting evidence so a resume reads coherently for the target job.
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Determines the candidate's primary role identity before any JD analysis. Classifies into role families, selects core tech identity, ranks projects by role relevance, and outputs a Candidate Position Brief consumed by all downstream stages. This is Phase -1 of the pipeline.
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Translate skills from one industry to another, identify transferable skills
The English summary is being prepared. Showing the original description.