神经科学研究生培训与专业技能不匹配。

Saloni Shah, Ashley L Juavinett
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引用次数: 0

摘要

随着神经科学领域的不断扩大以及与计算和数据密集型工作领域的日益重叠,神经科学的就业方向也在迅速发生变化。随着神经科学受训人员的稳步增长以及这些受训人员工作岗位的多样化,确定神经科学职业道路上的必要技能以及研究生培训如何帮助我们的学生为这一不断变化的工作队伍做好准备就显得尤为重要。在此,我们对数百名神经科学专业人员和研究生进行了调查,以评估他们对从工作台技能到沟通和管理等一系列技能的使用和评价。我们发现,几乎所有神经科学专业人员都表示非常需要管理和沟通技能,但研究生认为这些技能并不那么重要。此外,编码和数据分析技能在学术和行业研究中被广泛使用,预示着更高的薪水,而且男性研究生更常用这些技能。这些发现可以帮助受训者评估自己的技能组合,并鼓励教育领导者提供工作台以外的技能培训,帮助受训者进入职业生涯的下一个阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Mismatch Between Neuroscience Graduate Training and Professional Skill Sets.

Neuroscience career paths are rapidly changing as the field expands and increasingly overlaps with computational and data-heavy job sectors. With the steady growth in neuroscience trainees and the diversification of jobs for those trainees, it is important to identify the necessary skills in neuroscience career paths and how well graduate training is preparing our students for this ever-changing workforce. Here, we survey hundreds of neuroscience professionals and graduate students to assess their use and valuation of a range of skills, from bench skills to communication and management. We find that almost all neuroscience professionals report strongly needing management and communication skills, but that these were seen as are less important by graduate students. In addition, coding and data analysis skills are widely used in academic and industry research, predict higher salaries, and are more commonly used by male-identifying graduate students. These findings can help trainees assess their own skill sets as well as encourage educational leaders to offer training in skills beyond the bench, helping to catapult trainees into the next stages of their careers.

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