台北找工作

臺北醫學大學_醫學院_人工智慧醫療碩士在職專班誠徵專任助理教授(含)以上2名(公告至108.04.30截止) 108年03月19日

107學年度第2學期 醫學院 人工智慧醫療碩士在職專班誠徵專任助理教授(含)以上2名(公告至108.04.30截止)

*學歷需求:
博士(Ph. D.):醫學資訊Medical Informatics、生物科技Institute of Biotechnology、資訊工程管理Computer Science等相關科系畢業

*職務條件:(下面類別誠徵一名,應徵時請敘明應徵類別)
類別一:
1. 深度學習 Deep Learning
2. 平行處理Parallel Processing
類別二:
1. 機器人自動化控制 Automation Intelligence and Robotics
類別三:
1. 3D、VR、AR、MR 高階影像辨識 High-Order Image Recognition
(如:GPU運算/ CNN /人臉辨識) (EX:GPU Operation / CNN/ Face Recognition)
*需提供資料(Material needed):
除本校人力資源處網頁\聘任作業\教師聘任升等 所刊之表件外,另需提供著作目錄及重要著作、可教授課程及內容大綱、過去教學之課程綱要、推薦函二封(https://ift.tt/2Qmo4QA)
1. 個人履歷表及自傳
curriculum vitae and autobiography
2. 學經歷證件影本(持外國學歷者,畢業證書需經駐外單位驗證)
a photocopy of education and working experience diploma (any foreign diploma
should be verified in advance by the overseas office, Republic of China (Taiwan)
3. 著作目錄及重要著作
publication list
4. 可授之課程及內容大綱
a statement of teaching interests with course outlines
5. 過去教學之課程及內容大綱
previous teaching portfolio/outlines
6. 推薦函二封
two letters of recommendation

聯 絡 人:許小姐
連絡電話:02-6638-2736#1998
E-MAIL:linda0908@tmu.edu.tw

1.申請新聘專任教師請先至系統登錄教師新聘資料本校首頁>人力資源處>教師聘任升等作業系統(https://ift.tt/2SbrS3K)
2.另依本校人力資源處網頁>聘任作業>教師聘任升等作業規定,檢附所需表件於期限內郵寄至106臺北市大安區基隆路二段172-1號 19樓(註明欲應徵系/所/科/學程)
For the application of our new fulltime positions, the interested applicants please register at the faculty employment and promotion operating system first (https://ift.tt/2SbrS3K) and then make a hard copy of your curriculum vitae. Compose this hard copy, as well as the forms accompanying
“The Procedure of Teachers ‘ Employment and Promotion ” and mail the package to the department/course you are to apply within due time.
Please notify the unit/department, instead of any individual receiver, on the envelop for your delivery. The address of our university is: 19F, No.172-1, Sec. 2, Keelung Rd., Da’an Dist., Taipei City 106, Taiwan

發佈日期:2019-03-19 00:00:00

聯絡人:許小姐

聯絡電話:02-6638-2736#1998

相關網址:https://ift.tt/2DYcSmL

E-Mail:linda0908@tmu.edu.tw

source https://www.most.gov.tw/folksonomy/detail?subSite=main&article_uid=a167a297-b1f6-487c-bbdb-706e057e7801&menu_id=ba3d22f3-96fd-4adf-a078-91a05b8f0166&l=CH&utm_source=rss