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Featured Academic

Are you considering going straight from an undergraduate degree to a PhD, skipping the master’s? At 22 years old, Tess shares her experience of this and provides some valuable insights about how she prepared and applied for her PhD in Computing without doing a master’s degree.

Follow Marco T.P. Gontijo’s journey as he applied to PhD programs, received the prestigious Fulbright scholarship, and was accepted into a PhD program at Duke University in Molecular Genetics and Microbiology.

Are you a new PhD student looking to make connections before your programs starts? Kristin shares two big tips to help you hit the ground running at the start of your doctoral studies.

Applying to PhD programs can be confusing, and there is little advice about how to go about applying for them. This article offers three top tips for navigating the PhD application process and making yourself a strong applicant.

Discover what life has to offer after completing a PhD as Aly Flint reflects on her experience as an Early Career Researcher. After looking for work in the academic job market, Flint found The Brilliant Club, which offers rewarding and flexible work teaching university-style short courses to secondary school students, allowing her to create bespoke courses based on her current research.

Mentorship is key to success in non-academic careers. Matteo Tardelli shares how you can seek guidance from industry experts and alumni outside of academia. With dedication and persistence, anyone can find the right mentor to thrive in their chosen field.

In this article, Melissa Vasi shares her experience of having a supportive and understanding supervisor during her PhD journey. She explains how being a supervisor is not just limited to correcting a thesis, but also being a mentor and friend.

Are you thinking about using mixed methods (both quantitative and qualitative data) in your PhD? This article guides you through different ways of doing mixed methods PhD research, from proposal writing to collecting and analysing data. It emphasises the importance of rigor in mixed methods research and how to achieve this.
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