Leica Vario-Elmar-R 21-35mm/F3.5-4.0 ASPH Lens
Do you know this lens is with Double Aspherical glass?
A compact, lightweight zoom lens that covers the full range of the most frequently used focal lengths in the wide-angle range. Even at full aperture, both contrast and sharpness are comparable to those of lenses with fixed focal lengths. In spite of its compact design, it has an unusually high performance. That is due to the use of two aspherical surfaces and two lens elements made of high-refraction optical glass and glass with anomalous partial dispersion. Its aspherical surfaces are fabricated with a highly modern precision polishing process. For a wide-angle lens, susceptibility to reflections and barrel distortion are low. With its highly practical range of focal lengths and its outstanding imaging performance, this lens masters especially those tasks for which one would otherwise need four different wide-angle lenses : From photographing people and their nearby surroundings to spacious landscape photographs with a great feeling of depth. As a wide-angle zoom lens, the use of only two additional zoom lenses can form a high-performance, lightweight and complete outfit – for instance the LEICA VARIO-ELMAR-R 35–70 mm f/4 as the normal focal length and the LEICA VARIO-ELMAR-R 80–200 mm f/4 as the tele lens.
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M&K Kamera
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Tel : (+852)2712-6000
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Shop 331, 3/F, Sim City,
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徵才機關
國立屏東科技大學
人員區分
其他人員
官職等
職稱
校務基金進用研究人員
職系
名額
3
性別
不拘
工作地點
90-屏東縣
有效期間
107/05/01~107/05/15
資格條件
聘期自本校通知報到日起聘,以一年一聘為原則,但計畫期限在一年以內者,應依實際所需時間聘用,任期最長以三年為限。惟如因計畫持續需要,得聘期得至計畫執行期限結束時止。
◆徵聘單位:研究總中心(機電系統整合領域)
◆徵聘職稱:研究助理等級以上
◆名額:1
◆一般資格條件:具教育部認可之電子、電機、資訊等相關系所碩士(含)以上學位。具碩士學位者,以研究助理職級聘用(比照講師之研究人員);具博士以上學位,以助理研究員職級聘用(以比照助理教授之研究人員) 職級聘用。
◆專長領域或特殊資格條件(含研究著作要求):
(機電系統整合)如同時具有以下能力者,尤佳:
1.三年以上經驗從事工業機械組件的設計與整合。
2.在自動化機器的機電組件方面具有概念和詳細設計,驗證,測試和產品運作等專業技能。
3.具有創建和執行測試和評估計劃的經驗。
4.具有組態管理的經驗。
5.對於電路板、處理器、晶片、電子設備以及電腦軟硬體(包括應用程式與編程)具有專業知識與技能。
6.具有製作精確技術計劃、藍圖、繪圖和模型所需的設計技術、工具和原理的技能。
7.具有故障排除、修理、校準和維護電子設備的經驗。
◆Department:General Research Service Center
◆Position:Research Assistant level (above)
◆Vacancy:1
◆General Requirement:A MS or PhD’s degree recognized by the Ministry of Education of the R.O.C. in relevant fields of mechanical engineering, electrical engineering, or electromechanical engineering is required. MS degree available for research assistant as lecturer. PhD’s degree available for assistant researcher as assistant professor.
◆Specialization or Special Qualification(research and publication requirement included): Electromechanical System Integration If applicants have the following criteria,it is particularly good.
1.A minimum of three years of experience on designing and integration industrial mechanical components.
2. Demonstrated design expertise in electromechanical components for automatic machines, including conceptual and detailed design, validation, test and product implementation.
3. Experience creating and executing testing and evaluation plans.
4. Experience with configuration management.
5. Knowledge of circuit boards, processors, chips, electronic equipment, and computer hardware and software, including applications and programming.
6. Knowledge of design techniques, tools, and principals involved in production of precision technical plans, blueprints, drawings, and models.
7. Experience in troubleshooting, repairing, calibrating, and maintaining electronic equipment.
工作項目
◆徵聘單位:研究總中心(大數據分析領域)
◆徵聘職稱:研究助理等級以上
◆名額:1名
◆一般資格條件:具教育部認可之統計、數學、資訊分析等相關系所碩士(含)以上學位。具碩士學位者,以研究助理職級聘用(比照講師之研究人員);具博士以上學位,以助理研究員職級聘用(以比照助理教授之研究人員) 職級聘用。
◆專長領域或特殊資格條件(含研究著作要求):
(大數據分析)如同時具有以下能力者,尤佳:
1.三年以上資料分析、模式預測、數據挖掘等相關經驗。
2.專精於資料庫的建構與維護。
3.具有利用SAS, SPSS, Python, Matlab, Stata, or R.等統計軟體的能力。
4.具有人際交流,書面/口頭交流和團隊合作技巧。
5.具有與資深管理者、教職員與IT專業人士溝通能力。
◆Department:General Research Service Center
◆Position:Research Assistant level (above)
◆Vacancy:1
◆General Requirement:A MS or PhD’s degree recognized by the Ministry of Education of the R.O.C. in relevant fields of in statistics, mathematics, informatics analytics is required. MS degree available for research assistant as lecturer. PhD’s degree available for assistant researcher as assistant professor.
◆Specialization or Special Qualification(research and publication requirement included): Big data analysis If applicants have the following criteria,it is particularly good.
1. Three years or more of experience in data analysis, predictive modeling, data mining or related.
2. Expertise in building and maintaining databases.
3. Knowledge of statistical software packages, such as SAS, SPSS, Python, Matlab, Stata, or R.
4. Effective interpersonal, written/verbal communication and teamwork skills.
5. Ability to communicate well with senior level administrators, faculty, staff, and IT professionals.
工作地址
==================
◆徵聘單位:研究總中心(人工智慧領域)
◆徵聘職稱:研究助理等級以上
◆名額:1名
◆一般資格條件:具教育部認可之資料科學、數學、物理、電腦科學等相關系所碩士(含)以上學位。具碩士學位者,以研究助理職級聘用(比照講師之研究人員);具博士以上學位,以助理研究員職級聘用(以比照助理教授之研究人員) 職級聘用。
◆專長領域或特殊資格條件(含研究著作要求):
(人工智慧)如同時具有以下能力者,尤佳:
1.三年或以上的機器學習和人工智慧技術及其在開放資源技術中的實施經驗。
2.具有從各種來源檢索,操縱,融合和利用多個結構化和非結構化數據集的經驗。
3.具有使用分佈式處理體系架構和公開來源工具(如Spark,Python或R)分析大量數據的經驗。
4.具有能夠設計從數據收集到生產部署的分析週期的能力。
5.能由廣泛的可用數據中評估任務價值。
6.能識別數據科學可以應用的問題並提出解決方案。
7.能識別和分析異常數據。
8.能夠評估現有方法,模型和演算法的可行性,以識別方法的能力和局限性。
◆Department:General Research Service Center
◆Position:Research Assistant level (above)
◆Vacancy:1
◆General Requirement:A MS or PhD’s degree recognized by the Ministry of Education of the R.O.C. in relevant fields of data science, math, computer science, physical science is required. MS degree available for research assistant as lecturer. PhD’s degree available for assistant researcher as assistant professor.
◆Specialization or Special Qualification(research and publication requirement included): Artificial intelligence If applicants have the following criteria,it is particularly good.
1. Three years or more of experience machine learning and artificial intelligence techniques and their implementations in open source technologies.
2.Experience in retrieving, manipulating, fusing, and exploiting multiple structured and unstructured data sets from various sources.
3. Experience with analyzing large volumes of data using distributed processing architectures (ie. Hadoop) with open source tools (e.g. Spark, Python, or R)
4. Ability to design analytical lifecycle from data collection to production deployment.
5. Ability to assess mission value in a wide range of available data.
6. Ability to identify problems to which data science can be applied and initiate solutions.
7.Ability to identify and analyze anomalous data (including metadata)
8. Ability to assess feasibility of existing methods, models and algorithms recognizing the capabilities and limitations of methods.
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PRECISION - COULDN'T BELIEVE THE RESULTS!!Today, I used 25 Prime Regrading Lens' on my 20/20 Precision gems... ... <看更多>