Displaying items by tag: Women in Science

"We explore the extremes of the vertebrate eye. Deep-sea fish are very interesting in that they have many extreme adaptations, from which we can then draw conclusions for our human ventricular eye," explains evolutionary biologist Zuzana Musilová from the Faculty of Science of Charles University. More in one minute.

“Doing science these days is generally quite stressful - you're constantly writing grants or explaining in evaluation reports why it's not working out the way you thought it would,” warns molecular geneticist Eva Froňková from the Second Medical Faculty of Charles University.

Janet Tassell is a professor at at Western Kentucky University. During the winter semester, she spent three months as a Fulbright Scholar at the Faculty of Education, Charles University, where she conducted research to apply mindfulness practices in mathematics instruction.

The celebrations of International Women's Day and the International Day of Women and Girls in Science were truly "international" at CU this year. More than 20 international women scientists who work at the university met at Kampus Hybernská to share their stories, experiences and motivations. 

The whole world celebrates the International Day of Women and Girls in Science on 11 February. This year, Charles University decided to celebrate "internationally". We reached out to international female scientists working at Charles University and bring you two dozen experiences and stories.

Ivana Schnur graduated from the First Faculty of Medicine at Charles University and thought she would focus on pain management in oncology. But despite a few detours and “twists of fate”, she instead co-founded and runs Sensely a few years ago – a company that develops artificial intelligence to make nurses' and doctors' jobs easier.

A European Research Council junior grant (ERC Starting) has gone to Erin Carson from the Faculty of Mathematics and Physics at Charles University. She will analyse numerical computations and search for new algorithms for computational systems.

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