About this Research Topic
This Research Topic focuses on two main areas of interest. Firstly, it seeks submissions that identify the essential skills required by graduates to excel in the field of computational toxicology, with a specific emphasis on research and industry-based applications. Secondly, this Research Topic aims to gather innovative teaching tools and modules for undergraduate and graduate classrooms that facilitate the effective education of computational toxicology.
As the field of toxicology increasingly incorporates computational approaches to address complex challenges, it becomes crucial to understand the educational needs of future professionals in this domain. Submissions for the first area of interest should explore the specific skills, knowledge, and expertise that are in high demand within research and industry settings. By identifying these requirements, academia can adapt and refine their educational programs to shape competent graduates ready to contribute to computational toxicology advancements.
Furthermore, this Research Topic encourages the submission of innovative teaching tools and modules designed to enhance computational toxicology education in undergraduate and graduate
classrooms. Such tools may incorporate emerging technologies, interactive platforms, simulation-based exercises, or any other pedagogical approaches that effectively engage and equip students
with the necessary skills for computational toxicology.
Overall, this Research Topic aims to bridge the gap between academia and the needs of the computational toxicology workforce. We welcome all types of submissions that identify essential skills and promote innovative teaching methodologies in the field of computational toxicology. These include original research, case studies, perspectives, opinions, and commentaries, etc.
As the field of toxicology increasingly incorporates computational approaches to address complex challenges, it becomes crucial to understand the educational needs of future professionals in this domain. Submissions for the first area of interest should explore the specific skills, knowledge, and expertise that are in high demand within research and industry settings. By identifying these requirements, academia can adapt and refine their educational programs to shape competent graduates ready to contribute to computational toxicology advancements.
Furthermore, this Research Topic encourages the submission of innovative teaching tools and modules designed to enhance computational toxicology education in undergraduate and graduate
classrooms. Such tools may incorporate emerging technologies, interactive platforms, simulation-based exercises, or any other pedagogical approaches that effectively engage and equip students
with the necessary skills for computational toxicology.
Overall, this Research Topic aims to bridge the gap between academia and the needs of the computational toxicology workforce. We welcome all types of submissions that identify essential skills and promote innovative teaching methodologies in the field of computational toxicology. These include original research, case studies, perspectives, opinions, and commentaries, etc.
Keywords: Computational toxicology, Education, Workforce
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
