美国北卡罗莱纳大学夏洛特分校2022年招聘博士后（数据挖掘与大数据分析）

北卡罗来纳大学夏洛特分校 （University of North Carolina at Charlotte），简称UNCC，前身是建于1946年的夏洛特中心，如今已成为北卡罗来纳大学教育系统下的一所综合性研究型大学。学校位于北卡罗来纳州的最大城市及金融中心夏洛特，是夏洛特市最著名的学府，科研教学和师资力量雄厚。

Postdoctoral Fellow in Data Mining and Big Data Analytics

University of North Carolina at Charlotte

Position Information

General Information

Position Number POST40

Working Title Postdoctoral Fellow in Data Mining and Big Data Analytics; College of Computing & Informatics Division Academic Affairs Department Coll of Computing&Informatics (Col) Work Unit Bioinformatics and Genomics Work Location NC Research Campus - Kannapolis, NC Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Part-time Hours per week 40 Work Schedule

Monday thru Friday, 8 hours per day

Pay Rate $47,476 Minimum Minimum Experience/Education

Ph.D. (obtained in 2017 or later) in mathematics, statistics, chemistry, or bioinformatics.

Departmental Preferred Experience, Skills, Training/Education:

· Ethical and self-motivated.

· Solid computer programming skills in Python, R, MATLAB, Java, or other programming languages.

· Extensive experiences in algorithm development and statistical analysis of real data.

· Strong written and verbal communication skills.

· Experiences in metabolomics data analysis and machine learning are a big plus.

· Passionate for research and problem-solving.

Duties and Responsibilities

The primary research responsibilities of the successful candidates are to develop data mining and big data analytics capabilities for metabolomics, exposomics, and -omics data integration and publish the results. In particular, the successful candidates are to develop computational algorithms, workflows, software tools, and cloud resources for: (1) extracting compound information from raw liquid-chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS) exposomics and metabolomics data; (2) annotating and identifying ions based on existing large-scale compound and mass spectral libraries; (3) integration of metabolomics and exposomics data with other -omics and meta-data for gaining a holistic understanding of the underlying biological systems, and (4) data mining large-scale databases for extracting biological knowledge.

In addition to carrying out research, the successful candidates will also share student mentoring with Dr. Du.

As an EOE/AA employer and an ADVANCE Institution that strives to create an academic climate in which the dignity of all individuals is respected and maintained, the University of North Carolina at Charlotte encourages applications from all underrepresented groups. Applicants subject to criminal background check.

Other Work/Responsibilities

A Postdoctoral Fellow (""postdoc"") is a professional apprenticeship designed to provide recent Ph.D. recipients with an opportunity to develop further the research skills acquired in their doctoral programs or to learn new research techniques, in preparation for an academic or research career. In the process of further developing their own research skills, it is expected that Postdoctoral Fellows will also play a significant role in the performance of research at the University and augment the role of graduate faculty in providing research instruction to graduate students. A Postdoctoral Fellow works under the supervision of a regular faculty member, who serves as a mentor to the Fellow, and it is expected that the faculty mentor will impart the realities, and variety, of scientific careers, and will encourage experiences outside the laboratory to broaden postdocs' aspirations. Within the confines of the particular research focus assigned by that faculty member, the Postdoctoral Fellow functions with a considerable degree of independence and has the freedom (and is expected) to publish the results of his or her research or scholarship during the period of appointment. Thus, the role of Postdoctoral Fellows is clearly differentiated from full-time technical employees.

Postdoc appointments are characterized by all of the following conditions:

the appointee was recently (within the last eight years) awarded a Ph.D. or equivalent doctorate (e.g., Sc.D., M.D.); the appointment is temporary; the appointment involves substantially full-time research or scholarship; the appointment is viewed as preparatory for a full-time academic and/or research career; the appointee works under the supervision of a faculty member; and the appointee has the freedom and is expected to publish the results of his or her research or scholarship during the period of appointment.

Necessary Licenses or Certifications Proposed Hire Date 08/01/2022 Expected Length of Assignment 12 months Posting Open Date 06/29/2022 Posting Close Date 06/19/2023 Special Notes to Applicants

For other information about the Du-Lab, please visit www. du-lab.org. The candidate chosen for this position will be required to provide an official transcript of their highest earned degree.

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