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·計算機、電子電機工程、數(shù)學統(tǒng)計等相關(guān)專業(yè)，碩士或博士學歷| master degree or above in cs/ee, statistics or related field ·在計算機視覺,機器學習或醫(yī)療影像領(lǐng)域的頂會或期刊上發(fā)表過論文| publications in top journals or conferences in the fields of computer vision, machine learning or medical imaging. ·精通機器學習和深度學習庫，如tensorflow或pytorch。對計算機視覺以及機器學習常見算法，模型和解法有深刻理解。| proficient with one of the popular deep learning software frameworks, such as tensorflow or pytorch. a deep understanding of common families of computer vision and machine learning models, algorithms, and solutions. ·了解計算機視覺和機器學習的一些新興技術(shù)（如圖像生成模型，多模態(tài)融合，小樣本學習，細粒度圖像分類，貝葉斯深度學習等）。understanding of emerging technologies in computer vision and machine learning such as generative models, multimodal fusion, few-shot learning, fine-grained classification, bayesian deep learning etc. ·工作有規(guī)劃條理，注意細節(jié)；有團隊合作意識和溝通能力| detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged; work well in teams and communicate ideas clearly ·有3年以上使用深度卷積網(wǎng)絡(luò)解決分類、目標識別和分割問題經(jīng)驗優(yōu)先| prefer 3+ year(s) in using deep learning for classification, detection, segmentation, etc. ·有醫(yī)學影像經(jīng)驗或視頻處理優(yōu)先| familiarity with videos or medical images is a plus

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