Neuroscience Graduate Training Program

产品说明：加州大学圣地亚哥分校（UCSD）的神经科学研究生课程（NGP）致力于培养下一代神经科学研究人员，临床科学家和学者。在过去的20年里，UCSD NGP已经成为全国顶尖的神经科学研究生课程之一，在2010年全国研究理事会排名中排名第四。该培训补助金支持该计划的第一和第二年的学生，并得到了加州大学圣地亚哥分校，索尔克研究所，斯克里普斯研究所和桑福德-伯纳姆医学研究所参与部门的大力支持。这些机构是世界级的研究中心的托里松树梅萨，与加州大学圣地亚哥分校校园作为家庭学术机构。NGP提供了广泛的保护伞，将所有这些机构的神经科学家联合起来。NGP为学员提供丰富的课程，涵盖神经科学的广泛子学科，在优秀研究人员的各个实验室进行指导研究，以及跨不同项目的合作机会。NGP响应新兴的感兴趣的领域;一个新的正式专业，扩大了培训的范围是计算神经科学，在过去几年中增加。NGP的培训计划的结构，使学生形成密切的互动，彼此和教师进入程序后。新来的学生通过NGP靴子营接受密集的动手实验室培训，这也给了学生一个独特的结合经验和初步接触NGP研究选择的广度。在核心课程和三个研究实验室轮换之后，学生在第一年结束时选择他们的论文实验室。每个学生的进步是通过一系列完整的正式评估进行监测。所有学生都要参加科学行为和道德的必修课。学生通过各种活动，促进和加强学生和培训教师之间的互动丰富。职业咨询和辅导每年都在进行。来自不同年份的学生之间的垂直互动通过期刊俱乐部，研究回合和NGP学生组织和运行的着名研讨会系列以及年度招聘和务虚会活动来促进。NGP的招聘和录取竞争非常激烈。该计划致力于改善代表性不足的学生的招聘和保留; NGP在UCSD STEM（科学，技术，工程和数学）研究生课程中URM人口的代表性排名第一。这个培训补助金是中央的UCSD神经科学研究生培训的成功。受训人员的研究生产力非常出色，很大一部分前受训人员继续从事科学研究和高等教育。在接下来的五年里，UCSD医学院制定了一个目标，通过加强机构支持来增加该计划的规模，并坚定地致力于改善该计划的多样性。

DESCRIPTION: The Neurosciences Graduate Program (NGP) at the University of California, San Diego (UCSD) is committed to training the next generation of neuroscience researchers, clinician-scientists and academicians. Over the past 20 years, the UCSD NGP has become one of the top neuroscience graduate programs in the country, ranked 4th in the nation in the 2010 National Research Council ranking. This training grant supports the first- and second-year students in the program, and is endorsed by strong institutional support from the participating departments at UCSD, the Salk Institute, The Scripps Research Institute and the Sanford-Burnham Medical Research Institute. These institutions are world-class research centers on the Torrey Pines Mesa, with the UCSD campus as the home academic institution. The NGP provides the broad umbrella that unites neuroscientists from all these institutions. The NGP provides trainees with a rich curriculum covering a broad spectrum of sub-disciplines in neurosciences, mentored research in the individual laboratories of outstanding investigators, and collaborative opportunities across different programs. The NGP responds to emerging areas of interest; a new formal specialization that expands the scope of training is Computational Neuroscience, added in the past few years. The NGP's training plan is structured such that the students form close interactions with each other and with the faculty upon entry to the program. Incoming students receive intensive hands-on laboratory training through the NGP Boot Camp, which also gives the students a unique bonding experience and initial exposure to the breadth of NGP research options. Following the core courses and three research lab rotations, students choose their dissertation thesis labs at the end of the first year. Each student's progress is monitored through an integrated series of cohesive formal evaluations. All students take a required course for scientific conduct and ethics. Students are enriched through a variety of activities that facilitate and enhance the interactions between students and training faculty. Career advising and mentorship are in place at each successive year. Vertical interactions among students from different years are facilitated through journal club, research rounds, and a prestigious seminar series organized and run by the NGP students, and the annual recruitment and retreat activities. Recruitment and admission to NGP is highly competitive. The program makes dedicated efforts to improve the recruitment and retention of under-represented students; the NGP ranks the top in representation of URM population among the UCSD graduate programs for STEM (Science, Technology, Engineering and Math). This training grant is central to the success of the UCSD neurosciences graduate training. The research productivity of the trainees is outstanding, and a large fraction of former trainees continue in scientific research and higher education. Over the next five years, the UCSD School of Medicine has set a goal to increase the size of the program through enhanced institutional support, with a strong commitment to improving the program's diversity.