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The Quantitative Biological Systems Training (QBIST) Program

The Quantitative Biological Systems Training (QBIST) Program
定量生物系统培训 (QBIST) 计划
批准号:
10176536
负责人:
David Gresham
金额:
$19.51万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-07-01 至 2024-06-30

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中文摘要
翻译
摘要/摘要 技术进步使生物学成为一门需要现代计算和统计学的大数据学科 专业知识。与此同时,博士生的发展轨迹已经多样化,涵盖了 从事的职业范围广泛,其中学术职位占少数。量化的使命 生物系统培训(QBIST)计划是为了使生物医学研究人员能够自信地选择 在生物医学研究企业的各种职业中,通过积极的培训和经验 稳健和可转移的量化和领导技能。QBIST计划将追求3个主要目标。 目标1:使学员能够开发和应用高级计算和数据科学技能 复杂的生物医学研究问题。QBIST课程建立在量化优势的基础上 通过增加课程之间的凝聚力和连续性,在纽约大学生物学博士项目内提供课程 并扩大培训,将数据科学的正式指导包括在内。目标2:培养学员技能 指导和领导,并提供通过指导进行体验式学习的机会 在生物医学研究企业内促进包容性环境的活动。实习生将 在纽约大学通过积极的领导和指导角色,应用和巩固新学到的技能 多元化培训举措。目标3:使学员能够积极探索和追求生物医学事业 走出传统学术轨道的道路。QBIST学员将积极探索研究生职业生涯 通过参加与非学术组织的结构化实习计划的选择,包括 科学交流、非学术研究以及商业和创业。实现三个 主要目标,我们将建立一个QBIST研讨会,其中将包括应用以下概念的模块 生物范例的量化课程,并在此基础上提供专家主导的专业技能培训 通过纽约大学STEP计划设立的课程(由NIH最佳奖项资助)。QBIST计划将 由17名教职员工组成,他们在指导和科学研究方面有着出色的记录 具有研究复杂生物系统集成的定量方法方面的专业知识 分子生物学、细胞生物学和生物生物学。我们将每年挑选4名学生进入QBIST 该计划将被任命为博士培训的第二和第三年。学生将由以下人员挑选 QBIST计划执行委员会根据一份书面申请,详细说明了培训目标和长期- 任期职业目标。为了评估QBIST计划的有效性,我们设计了一项调查,将 每年由所有受训人员完成,并确定跟踪受训人员研究和职业生涯的新实践 结果。所有数据和分析将在QBIST门户网站上公开提供。实现 QBIST计划的目标将有助于加强整个纽约大学生物系博士计划和 为美国生物医学机构的博士培训提供新的见解和资源。
英文摘要
Abstract / Summary Technological advances have made biology a big data discipline requiring modern computational and statistical expertise. At the same time, the post-graduate trajectories of PhD trainees have diversified to encompass a broad range of careers of which academic positions represent the minority. The mission of the Quantitative Biological Systems Training (QBIST) program is to empower biomedical researchers to choose confidently amongst a diversity of careers in the biomedical research enterprise through active training and experience in robust and transferable quantitative and leadership skills. The QBIST program will pursue 3 primary objectives. Objective 1: Enable trainees to develop and apply advanced computational and data science skills to complex biomedical research questions. The QBIST curriculum builds on the strengths in quantitative courses offered within the NYU Biology PhD program by increasing cohesion and continuity between courses and expanding training to include formal instruction in Data Science. Objective 2: Cultivate trainee skills in mentorship and leadership and provide opportunities for experiential learning through mentorship activities that promote an inclusive environment within the biomedical research enterprise. Trainees will apply and solidify newly acquired skills through the adoption of active leadership and mentoring roles in NYU's diversity training initiatives. Objective 3: Enable trainees to actively explore and pursue biomedical career paths outside the traditional academic trajectory. QBIST trainees will actively explore post-graduate career options through participation in a structured internship program with non-academic organizations including science communication, non-academic research and business and entrepreneurship. To realize the three primary objectives, we will establish a QBIST workshop which will include modules that apply concepts from quantitative courses to biological examples and provide expert-led training in professional skills, building on courses established through the NYU STEP program (funded by a NIH BEST award). The QBIST program will comprise 17 faculty members with an outstanding track record of commitment to mentoring and scientific excellence with expertise in quantitative approaches to studying complex biological systems integrating molecular, cellular, and organismal biology. We will select 4 students per year for admission to the QBIST program who will be appointed for the second and third years of their PhD training. Students will be selected by the QBIST program executive committee on the basis of a written application detailing training goals and long- term career objectives. To assess the effectiveness of the QBIST program, we have designed a survey that will be completed each year by all trainees and defined new practices for tracking trainee research and career outcomes. All data and analyses will be made publically available on the QBIST web portal. Achieving the QBIST program objectives will serve to enhance the entire NYU Department of Biology PhD program and provide novel insights and resources for PhD training throughout biomedical institutions in the USA.
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Constraints and Consequences of Copy Number Variation
  • 批准号:
    10385824
  • 项目类别:
  • 资助金额:
    $30.79万
  • 财政年份:
    2020
  • 负责人:
    David Gresham
  • 依托单位:
Constraints and Consequences of Copy Number Variation
  • 批准号:
    10598022
  • 项目类别:
  • 资助金额:
    $30.51万
  • 财政年份:
    2020
  • 负责人:
    David Gresham
  • 依托单位:
Constraints and Consequences of Copy Number Variation
  • 批准号:
    10155508
  • 项目类别:
  • 资助金额:
    $30.57万
  • 财政年份:
    2020
  • 负责人:
    David Gresham
  • 依托单位:
Constraints and Consequences of Copy Number Variation
  • 批准号:
    9973827
  • 项目类别:
  • 资助金额:
    $30.6万
  • 财政年份:
    2020
  • 负责人:
    David Gresham
  • 依托单位:
海外基金