MyLiveCV

For PhD Students & Academics

The Academic CV (and the Industry Resume) — Both, Built Fast

Switch between a full academic CV with publications and a 1-page industry resume in one click.

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Features Built for You

Publications & Citations Section

First-class support for peer-reviewed publications, conference papers, preprints, citations, and h-index.

Talks, Posters & Teaching

Dedicated sections for invited talks, poster sessions, courses taught, and teaching evaluations.

Grants & Awards Tracking

List NIH, NSF, ERC, Wellcome, and institutional grants with role (PI, co-PI), amount, and dates.

Academic ↔ Industry Mode

One source of truth, two outputs: a 5-10 page academic CV and a 1-page industry resume tailored to data science, biotech, or quant roles.

Research Methods & Tools

Structured skills section for techniques (CRISPR, NGS, mass spec) and computational tools (R, Python, MATLAB).

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Frequently Asked Questions

What's the difference between an academic CV and a résumé?
An academic CV is comprehensive (5-15+ pages) and includes every publication, talk, teaching role, grant, and award. A résumé is 1-2 pages, tailored to a specific industry role, with selective achievements. You need both — and you should switch easily between them.
How do I move from academia to industry without a track record?
Translate research outcomes into business-relevant language: "Led 5-person research team" instead of "Was first author". Quantify with metrics industry recognises (datasets analysed, models deployed, p-values matter less than impact). Add a Projects section with code repositories and reproducible artefacts.
Where should publications go on an industry resume?
Keep one line: "Selected publications: 3 first-author in Nature/PNAS/CVPR (full list on request)." Recruiters in data science and biotech respect publications but want to see commercial relevance first.
Do I include teaching on an industry resume?
Only if it demonstrates communication, leadership, or mentoring — frame it as "Trained 40 undergraduates in Python and statistical methods" rather than as a course title.

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