#博士研究

Live, measured metrics for the hashtag #博士研究 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-26 11:52 UTC
0
08-20
0
08-21
0
08-22
0
08-23
0
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08-25
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08-26

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-26 11:52 UTC

No related tags with measured usage found for #博士研究.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-26 11:52 UTC

Everything below is measured over the latest 2 public posts (spanning ~3768 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: Chinese (Taiwan) (2)

Avg boosts / post: 0

Top of the latest posts

  • 🌗 博士學位生存指南 ➤ 站在學術與職涯的十字路口:攻讀博士前的深度反思 ✤ http://karpathy.github.io/2016/09/07/phd/ Andrej Karpathy 在本文中分享了他結束博士學程後的深刻回顧。他並非旨在鼓勵每個人都去攻讀博士,而是客觀地分析了這條道路的利弊。他探討了選擇博士學位帶來的學術自由、個人成長及專業深耕的機會,同時也誠實揭露了研究過程中的挫折、孤獨感及心理挑戰。對於有志於學術研究的讀者,他強調了「推薦信」在申請過程中的核心

    GripNews@[email protected]002026-03-14 07:18 UTCView post →
  • 🌘 博士之路:快照中的回顧 ➤ 透過進度報告,一窺計算生物學博士之路的技術演進與策略轉折 ✤ https://rbharath.github.io/A-PhD-In-Snapshots/ 本文作者 Bharath Ramsundar 分享了他撰寫的博士學位期間各階段的進度報告,這些報告原是為了符合 Hertz 基金會的補助要求,記錄了他從跨足計算生物學到應用深度學習於藥物設計的轉變。文章回顧了他在史丹佛大學博士班第一年的探索,包括課程學習、研究輪調的不確定,以及獲得 Her

    GripNews@[email protected]002025-10-08 07:18 UTCView post →

#博士研究 across platforms

every network with a public tag surface

Follow #博士研究 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/博士研究