“So, what experiment should we do next?” asks the student. And two different tabs open up side to side in your mind. Tab 1: Taking a stroll in your field In this tab, there are no real rules. You are wandering on the signaling pathways, thinking back to the intersections that you encountered before and at the same time, looking for new ones that could appear in the continuation of this little walk.
The current system of recognition in academia is built on a single pillar; publishing. Career advancement is dependent on how much and where you publish. Assessment of “quality” is based on extremely poor proxies, such as impact factor or journal name. There are a range of costs to this system ranging from financial to personal. Financial The financial costs of publishing are very well documented.
The rise of Large Language Models in academic writing. Postdoctoral researcher Dr Verena Haage was reviewing a manuscript for a reputable neuroscience journal when she began to notice unusual inconsistencies. Haage noticed that some figures had strange proportions, or illogical experimental timepoints, and that figures were arranged in a senseless order.
By the end of my PhD, I was somewhat disillusioned by the way scientific research worked and decided to pick a field that could open up a (small) door to industry, if I ever decided to take that route one day. (I was very naive about that, but that is a story for another time.) After some digging, I could find two labs focusing on the relatively narrow question I wanted to pursue for my postdoc.
¿Te gustaría que tus datos de investigación fueran fáciles de encontrar, accesibles, interoperables y reutilizables? Los principios FAIR (Findable, Accessible, Interoperable, Reusable) son la clave para lograrlo. En este post, te explico cómo aplicarlos de manera práctica, con herramientas y consejos útiles. 1. ¿Por qué hacer tus datos FAIR?
Meet Larry, the Scientific Cat Larry — a fluffy, slightly overweight cat — has achieved what many postdocs or even professors only dream of: becoming the most cited “author” in his field. Obviously, Larry has never written a word or attended a conference. His main activities? Napping, demanding food, and scratching furnitures. Yet, there he is — the most cited author without lifting a paw.How Did We Get Here?
If doing your job requires constant applications to keep doing it, is that really a “job”? Why do we need to keep “auditioning” for work we’re already performing? Let’s first agree that there isn’t a typical career trajectory in academia. But there are some recurring steps one usually has to go through. Getting the job There are definitely some unwritten laws about getting jobs in academia.
We all know this person. Or we are this person. You troubleshoot broken connections in the lab, fix the department printer, teach undergrads how to use the Nanodrop and pH-meter, and share all your best Excel hacks. Congratulations: you're the Swiss Army knife of your lab. But guess what?
How might we illustrate, explore, and begin to define the ‘state of the nation’ film and television text? This edited collection, in collaboration with Intellect, invites consideration of these questions.
After Invincible ’s fifteen-year run as a comics series (Image Comics/Skybound, 2003-18), creator Robert Kirkman and TV writer Simon Racioppa pitched an adaptation to Amazon Prime Video. Their ongoing animated superhero drama series, which has run for three seasons so far (2021, 2023-25), is an undeniable success. Rotten Tomatoes rates the seasons at or near 100% approval.
The European audiovisual landscape is complex, with a huge variety of content providers and a traditionally strong public service.