题 目👽：智慧医疗与健康管理领域大数据应用趋势及创新创业机会
讲座嘉宾：Bruce Ling（凌雪峰）博士🙅🏼♂️📴，斯坦福大学医天美转化医学实验室（Translational Medicine🏊🏽♂️🪆，School of Medicine ）主任，PI
主持人：翁杰敏教授，天美娱乐
时 间🚴🏻♂️：2016年1月23日（周六）晚上 19：00-20:00
地 点：天美闵行校区天美娱乐469会议室
Bruce Ling (凌雪峰）博士简历
凌雪峰博士横跨学术和产业界🛌🏻，在智慧健康管理、精准医学领域的大数据产业应用与学术研究领域均取得了显著成果。
斯坦福大学医天美转化医学实验室2016年招收博士后/ 访问学者/ 交流博士生启事 （1月23日19:00生科院469会议室讲座后安排统一见面交流和面试🧑🏿💼。）
基于以往的良好合作基础，斯坦福大学医天美转化医学实验室BruceLing主任因科研需要，2016年拟在浙大招收若干博士后/访问学者/访问博士生✪🎤，访问时间1-2年🕷。主要从事生物医学、多组学、流行病学🍩、基因组科学🧑🏻🦳、生物医学数据挖掘、大数据与智慧健康管理等方面的研究🍹。期间将有机会在硅谷智慧健康管理领域高科技创业公司实习🧑🏻🎨。具体待遇面议。欢迎感兴趣的相关博士后🫅🏼、青年教师、博士生申请👆。请将简历发给bxling@stanford.edu邮箱👩👩👦👦。
斯坦福转化医学中心网站🔡：
http://translationalmedicine.stanford.edu
联系人🧑🏫：Dr.BruceLing
bxling@stanford.edu
(Office) 650-427-9198
Postdoctoralfellow in biomedicine and multi-omics:
We have an opening for a talentedPostdoctoral Fellows. The focus of the labs is to use proteomics, biochemicaland cellular approaches to study signaling pathways in human diseases. Thesuccessful candidate will have experience in cellular experiments (tissueculture, IP western, signaling experiments, siRNA/CRISPR) or HPLC biochemicalpurification and mass spectrometric analysis. The potential project will befocused on mechanistic understanding of the diagnostic signatures of humandiseases using biochemical approaches in relevant body fluids. Experience withmass spectrometry and computational analyses of omics data is also desirable.The successful candidate must be able to demonstrate scientific rigor and awillingness to collaborate with a multidisciplinary team of scientists.Additional expectations include publication of research in high-qualityscientific journals.
Postdoctoralfellow: Epidemiologist
Position Description: We are seeking a dynamic person to workin the big data analytics field in the heart of silicon valley. As anepidemiologist, you will be trained to work closely with the managers of datamining Program, collaborative university faculty, and scholars. Position willinvolve: • Performing ongoing research studies, enroll subjects, conductsurveys, compile and enter data. • Assistingwith IRB application for research studies conducted by HBI solutions, Inc.• Coordinate/assist with grant writing andsubmission. • Providing assistance with manuscript submission for publication.• Managing research budget and processinginvoices. • Completinggrant-related progress and performance reports. • Data entry and data analyses • Projectmanagement • Experience in MSOffice, database management, grant budgeting and the ability to manage multipleprojects is desired. • Familiaritywith R and SAS programming tools, online evaluation tools, web-based surveys,and web-based teaching materials and interactive modules will be preferred. • Coordinating client and rotations. • Monitoring trainee progress in completing educationalactivities. • Take leadership withresearch studies, project management, data collection, data entry, dataanalyses using SAS and reporting. Substantial intellectual growth and researchpublication potential exist in this position.
Postdoctoralfellow: Genome sciences
We are looking for a PhD-levelcomputational biologist, physicist or computer scientist who is interested inbeing actively involved in the design and analysis of large-scale cancergenomic/polyomic data and their integration with clinical phenotypes. He/shewill address novel research questions at the intersection of computationalgenomics and clinical cancer research. In addition to computational officespace, the Ling group has experimental “wet” lab space, whereby intensecollaborative interactions between “dry” and “wet” lab researchers are highlyencouraged and have in the past been very successful. The successful candidateshould hold a PhD, and should have carried out PhD research in a computationalor quantitative discipline (e.g. computational biology, bioinformatics,physics, computer science, statistics). Prior expertise in the analysis ofnext-generation sequencing data will be considered as a plus. Strongcomputational skills and ability to perform multidisciplinary work coveringcomputational biology, bioinformatics, biostatistics, genome analysis andcollaborative interactions with other team members is mandatory. Experience indata analysis and familiarity with programming languages (e.g. R, Matlab,Python, Perl), and a strong publication record (which can include academicpapers and scientific software) is required. Furthermore, reliability,attention to detail, communication skills, effective time management,motivation to work in a multidisciplinary international environment, and theability to independently take responsibility over his/her own project will beexpected. The successful candidate will benefit from the interdisciplinaryscience pursued in the silicon valley.
Postdoctoralfellow: data mining in biomedicine
A postdoctoral research fellow position inthe areas of data mining and modeling is needed. The group focuses on studyingcomplex cellular responses to chemical and biological compounds usingquantitative data modeling and cellular imaging methods. The successfulcandidate will develop new data mining and modeling algorithms and tools forpredicting big data based on chemical structures, cellular images, and geneexpression profiles. The candidate will have the opportunity to work in ahighly interdisciplinary and stimulating environment.
Candidates must have a strong quantitativebackground, with a Ph.D. in computer science, computational biology,bioengineering, chemical engineering, electrical or computer engineering, orother related fields. Strong knowledge in machine learning, data mining,regression analysis, statistics, and programming (R and/or Python) arerequired. Candidates with interdisciplinary training in chemistry/biology andcomputing are especially encouraged to apply. Candidates must also possess goodcommunication skills, and be fluent in both spoken and written English.
Postdoctoralfellow: big data based analytics
A postdoctoral research fellow position inthe areas of data mining and high throughput computing is needed. Predictivealgorithm modeling experience is needed. The successful candidate will developnew data mining and modeling algorithms and tools for predicting futuretrending and high throughput computing with big data. The candidate will havethe opportunity to work in a highly interdisciplinary and stimulatingenvironment.
Candidates must have a strong quantitativebackground, with a Ph.D. in computer science, robotics, automation, electricalor computer engineering, or other related fields. Strong knowledge in machinelearning, data mining, regression analysis, statistics, and programming (C++and Hadoop) are required. Candidates with interdisciplinary training inengineering and computing are especially encouraged to apply. Candidates mustalso possess good communication skills, and be fluent in both spoken andwritten English.
斯坦福转化医学中心网站：
http://translationalmedicine.stanford.edu
联系人：Dr.BruceLing
bxling@stanford.edu
(Office) 650-427-9198