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教發中心教師組自成立以來，長期致力於提供校內教學團隊豐富專業發展支援，不論是教師或教學助理，都可藉由本組辦理之各式主題課程與諮詢服務，持續精進教學知能與提升學生學習成效

工作內容 開放教育資源推廣規劃及執行 數位學習宣傳影音規劃及執行 其他交辦事項 工作時間與地點 上班時間：彈性工時制，上班時間8~9點之間，下班時間 17~18 點之間 (依校方規定)，週休二日。 工

我們是臺大教學發展中心學習促進組（簡稱學習組），教學發展中心重視教師的「教學」與學生的「學習」，學習組就是為了促進學生學習而存在的一組！ 不論是大學部還是研究生，不論是希望加強課業還

1. 有獨立對應客戶能力 2. 具備專案開發經驗與創意提案能力 3. 良好的團隊溝通與應變能力，高情商自我管理 4. 熟悉Android、iOS兩大手機系統操作 6. 具有良好邏輯性與時間管理 7. 擅

負責app軟體程式系統架構設計與開發。 與團隊溝通協調、專案時程規劃及跟進等事務。 系統測試：進行系統單元測試、功能測試 。

習模型，在客戶選定的車用硬體平台上，進行嵌入式平台抽象化及圖像引擎最佳化，來對 深度學習(DL) 或 電腦視覺(CV) 進行壓縮、加速及跨平台移植，並能夠在開發期間，透過團隊訓練來提升軟體開發

Backend Engineer, Block River Technologies Taipei Taiwan, Remote/Hybrid, Open to Full-time/Part-time and Contractors Block River Technologies is a leading provider of cutting-edge solutions in DLT research, FinTech, and Algorithmic Trading. We're revolutionizing the financial industry through innovative technologies and data-driven insights. In this thriving environment, we are seeking an experienced Backend Engineer to join our team. As a significant contributor, you will play a key role in our

Frontend Engineer, Block River Technologies Taipei Taiwan, Remote/Hybrid, Open to Full-time/Part-time and Contractors Block River Technologies is a leading provider of cutting-edge solutions in DLT research, FinTech, and Algorithmic Trading. We're revolutionizing the financial industry through innovative technologies and data-driven insights. In this thriving environment, we are seeking an experienced Frontend Engineer with expertise in React to join our development team. As a significant contri

前裝客戶的RFI / RFQ需求，來設定攝像頭的參數及輸出影像的調教和預處理 •並配合團隊共同研究最佳化視覺演算法(CV)及深度學習模型(DL)，以符合ADAS效能需求 •與團隊成員共同完成其他指派任務

We are looking for a creative and passionate Machine Learning (ML) / Deep Learning (DL) Intern to join Roku TV team. You will be tasked to explore Picture Quality (PQ) improvements using AI in a resource constraint environment. Roku is pushing the limits in all directions, and PQ is one of these. This role is for a 12-week Summer 2024 Internship based in Taiwan. Learning end-to-end pipeline right from model development to deployment