Collaboration

…teaching, funding development and collaboration. The intended start is September 2027 or by agreement. The appointment leads to tenure following satisfactory completion of a three-to-five-year probation. Application references are due by 14 December 2026.

…clinicians, scientific discussion and collaboration across the spine-care community. The 38th meeting takes place at the Adelaide Convention Centre from 2 to 4 April 2027. Abstract submissions close on 7 January 2027. Registration is scheduled to begin on 9 November 2026, with early-bird pricing ending on 26 February 2027.

…recognizing 25 years of discovery, collaboration, and progress in stem cell science.

…Awards build research leadership, collaboration and convening experience, with mentoring and development integral to the project. Solo researchers, teams and networks are eligible. Projects may last up to five years and start at least nine months after submission. Applications are accepted without a closing date.

…connects computational methods with collaboration and mentoring, offering a practical view of research supported by the DOE Computational Science Graduate Fellowship.

This seminar, hosted by the LIBRE hub project, will provide an in-depth introduction to the Global Open Science Hardware (GOSH) movement. Since its inception, GOSH has been instrumental in advancing open-source hardware within scientific research, fostering a diverse and active community. The seminar will cover the history of GOSH, its current initiatives, and future opportunities, with a particular focus on the contributions and activities of the Latin American branch. This session aims to inform researchers, educators, and policy-makers about the significance and impact of GOSH in promoting

…Our hope is to encourage greater collaboration between the brai

Many of the collaborations we encounter in our scientific careers are centered on a common idea that can be associated with certain resources, such as a dataset, an algorithm, or a model. All partners in a collaboration need to develop a common understanding of these resources, and need to be able to access them in a simple and unambiguous manner in order to avoid incorrect conclusions especially in highly cross-disciplinary contexts. While digital computers have entered to assist scientific workflows in experiment and simulation for many decades, the high degree of heterogeneity in the field