工作地点：青岛，中国

Work Location：Qingdao,China

年薪：50万人民币

Annual salary：500kRMB

岗位职责 Job description：

l 开发利用机器学习和深度学习预测玉米产量与适应性的模型；

Develop machine learning and deep learning methods for predicting hybrid yield and fitness;

l 整合数量遗传学与人工智能用于大规模的遗传特征预测。

Integration of quantitative genetics and artificial intelligence (AI) for large-scale genetic traits

prediction.

任职要求 Qualifications：

l 生物统计、计算机、遗传育种等相关专业博士学位;

PhD in Statistics, Computer Science, Crop Science, Agronomy, or Plant Genetics etc.;

l 熟练使用 Python 与 R 语言；熟悉 Perl、SQL 或其它编程语言；

Proficiency in Python and R programming language; Familiar with Perl, SQL or other programming

language etc.;

l 熟练使用定量建模技术，如统计模型或机器学习等；

Proficiency in quantitative modeling techniques such as statistics or machine learning;

l 有使用机器学习、人工智能、神经网络技术分析基因组数据或育种数据的经验；

Experience applying Machine Learning, Neural Network, or Artificial Intelligence techniques to

genomic data or breeding data;

l 有较好的沟通能力与团队协作精神。

Good communication skills, team spirit and leadership.