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FarU inter-university mail system

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At the beginning of November this year, the Fahrenheit Union of Universities launches inter-university mail system in an attempt to improve the circulation of documents between the MUG, Gdańsk Tech and UG.

In monthly cycles, each of the member universities will deliver and collect documents in the morning hours. The first to do the task will be the University of Gdańsk, then the Medical University of Gdańsk and then Gdańsk University of Technology.

Announcement of the results of the first edition of the Scandium Baltic Region Research Grants competition

Scandium
In the call for proposals under the Scandium Baltic Region Research Grants Program, aimed at supporting cooperation with leading centers from the Baltic Sea Region, nine applications were submitted, out of which four received funding - for a total of over PLN MILLION.

The submitted projects were in line with all PRA centers of the Gdansk University of Technology and covered a wide range of topics: ecological, medical, social, etc.

The winning projects include:

1. Detection of emerging contaminants in the Baltic Sea using optical transparent electrodes in optoelectrochemical systems
Applicant:  Marita McPhillips PhD FME, funding: PLN 113 200, Digital Technologies Center.

Sustainability Report

The implementation of the United Nations Sustainable Development Goals has been included in the new development strategy of Gdańsk University of Technology for the years 2020–2030. The presented report is an outline of the University's activities in particular areas of Sustainable Development. 

Anna Szafrańska, Ph.D., Eng. is the laureate of the 5th edition of the MINIATURA competition

The photo shows a white card with a gold ribbon laid on a white background.

Anna Szafrańska, Ph.D., Eng. from the Division of Differential Equations and Applications of Mathematics received a grant from the MINIATURE 5 competition (National Science Centre) for the implementation of the basic research entitled : "Construction of high-performance mathematical models based on fractional calculus using new machine learning techniques as a tool for parameter identification."

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