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                当前位置:首页 > 校园招聘 > 教职工招聘 > 50万起—浙江大学生命演化研究中心与阿里巴巴2024年联合招聘多名博士后
                50万起—浙江大学生命演化研究中心与阿里巴巴2024年联合招聘多名博士后

                发布:2023-12-28 15:08:11  关注:2601次

                一、岗位要求

                1.数据科学与数据库、人工智能、深度学习等相关领域的博士;

                2.熟悉机器学习(例如,深度学习,神经网络算☆法等)模型,具备相关模型开发能力,有基因组学背景优先考虑;

                3.曾在国际杂志以第一作者(含共同)发表文章,具有独立的思考和缜密的逻辑思维,敢于探索新方法和技术;

                4.在本领域具有良好的学科背︼景、研究积累以及创新研究思路⌒,有坚实的专业基础;

                5.有志于长期从事科学研究,有责任心与团队合作精√神;

                6.较为良好的英语沟通和写作能力。

                二、工作内容

                利用机器学习算法开展基因组学数据挖掘◢工作,开发基因组分★析算法。结合比较基因组及进化生物学,利用大模型及机器学习开展基因型与表型比∞较研究,有众多课题可供选择。课题将在浙江大学生命演化研究中心张国捷☆教授团队及阿里巴巴叶杰平团队共同指导下开展。两个团队☉已经组织开展了多项基因组学领域前沿研究,收集了海量的基因组及表型数据,在基因组学及人工智能领域强Ψ强联合,期待您的加盟。

                三、人才待遇

                1.提供具有竞争力的待遇(总年薪50-56万,具体面议);

                2.校企合作,既可享受学校相关↘待遇,同时与阿里巴巴研究团队密▓切合作;

                3.提供国际化研究环境,多学科交叉环境;

                4.组织开展基因组「学前沿领域研究,参与重大研究计划和国际协作研究计划;

                5.课题组提供宽松和自由探索的科研环境,支持个人◣长远发展;

                6.可按学校相关规定,申请校☆内住房;

                7.充分支持受聘人员参与申请学校博士后基金和国家自然科学基金。支持ζ参加海内外学术交流活动;

                8.其他︽福利待遇根据应聘人员资历从优提供。

                四、联系方式

                0571 8820 8707heyunqiu@zju.edu.cn邮件标题注明:应聘岗位+毕业学校+本人姓名+高校人才∞网【快捷投递:点击下方“立即投递/投递简历”,即ω 刻进行职位报名】

                joint recruitment position: postdoc (at least 500,000 rmb per year)

                center for evolutionary & organismal biology at zhejiang university and alibaba.

                requirements:

                1. a ph.d. in fields related to data science, artificial intelligence, deep learning is required.

                2. familiar with machine learning models, such as deep learning, neural network algorithms, etc., with the ability to develop related models. candidates with a background in genomics are preferred.

                3. have published papers as first author or co-first author in international journals, with independent thinking ability, and be able to explore new methods and technologies.

                4. excellent academic background and innovative research ideas in this field, with a solid professional foundation.

                5. have a long-term commitment to scientific research and possess a sense of responsibility and teamwork.

                6. have a good communication and writing skill in english.

                responsibilities:

                the position involves using machine learning algorithms to carry out genomic data mining and developing new genomic analysis algorithms. the candidate will integrate machine learning methods with large-scale genomic data to build the link between genotype and phenotype. there will be many research topics to choose from. the topic will be jointly guided by professor guojie zhang's team at the center for evolutionary & organismal biology at zhejiang university and dr. jieping ye's team at alibaba. these two teams have already carried out cutting-edge research in genomics, collected large amounts of data, and developed new models for genomic data mining. we look forward to your joining us.

                benefits:

                1. competitive salary will be offered (annual salary of 500,000-560,000 rmb per year, negotiable).

                2. the relevant benefits of zhejiang university while working closely with the alibaba research team.

                3. international and multidisciplinary research environment.

                4. be able to organize and conduct cutting-edge research in genomics and participate in major and international cooperative research programs.

                5. we will offer open research environment and the opportunity to explore your long-term personal career development.

                6. according to the relevant regulations of the university, you can apply for on-campus housing.

                7. fully support the recruits apply the fundings from university and the national natural science foundation of china.

                8. other benefits will be provided preferentially according to the qualifications of the candidates.

                email:heyunqiu@zju.edu.cn

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