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Primary Responsibilities: - Design, and implement algorithms in Deep Learning for Medical Image Analysis problems - Work on large-scale data sets and real-world problems - Close collaboration with Siemens Healthineers Business lines to understand requirements and deliver successful AI solutions - Data analysis of clinical studies with clinical partners 主要職責： ? 設計并實現(xiàn)用于醫(yī)學圖像分析問題的深度學習算法 ? 處理大規(guī)模數(shù)據(jù)集和實際的問題 ? 與西門子醫(yī)療業(yè)務線密切合作，了解需求并提供成功的AI解決方案 與臨床合作伙伴進行臨床研究的數(shù)據(jù)分析 Qualifications: - Ph.D. proffered in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math. Alternative MSc. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math with at least 3 years experience - 2 years industry experience in building medical imaging solutions. - Strong background in Deep Learning and familiar with TensorFlow, PyTorch and etc. - Proficiency in Python and ability to quickly prototype in C is desired - Graduate research and internship experience in Computer Vision, Machine Learning and Image Understanding preferred - Experience in medical image and medical big data preferred - Outstanding written and verbal communication skills in English are required - Excellent interpersonal skills - Strong collaboration skills and ability to thrive in a fast-paced environment 要求： ? 計算機科學、電氣工程、統(tǒng)計學或應用數(shù)學等工程或科學領域的博士學位。其他的理學碩士，在工程或科學領域，如計算機科學、電氣工程、統(tǒng)計學或應用數(shù)學，至少3年工作經(jīng)驗。 ? 2年以上解決醫(yī)療影像問題的行業(yè)經(jīng)驗。 ? 深厚的深度學習背景，熟悉TensorFlow、PyTorch等。 ? 精通Python，能夠在C 中快速實現(xiàn)的能力 ? 有計算機視覺、機器學習和圖像理解方面的研究生研究和實習經(jīng)驗者優(yōu)先 ? 有醫(yī)學影像和醫(yī)學大數(shù)據(jù)經(jīng)驗者優(yōu)先 ? 需要出色的英語書面和口頭溝通技能 ? 優(yōu)秀的人際交往能力 ? 強大的協(xié)作技能和在快節(jié)奏環(huán)境中茁壯成長的能力