Science on surfaces - Tips, Tricks and Tools
In this podcast, we cover topics related to everyday life in surface and interface science. We invite leading scientists and experts in different areas to have interesting discussions spanning everything from the bigger perspectives to scientific details. We talk about key concepts and terminology, tools and instrumentation used, challenges, strategies, and approaches to address common issues, as well as tips and tricks related to the planning and performance of the research and scientific work itself.
Podcasting since 2019 • 34 episodes
Science on surfaces - Tips, Tricks and Tools
Latest Episodes
34. Challenges of an academic career path – a conversation on productivity, creativity, and funding
How important is it to be productive to succeed in academia? And what about being creative?In this episode, we once again have the pleasure talking to
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1:01:36
33. Modelling and Mathematical Models in Science
What is an initial value problem? And why do many of us find mathematical modelling so challenging? In this episode, we again have the honor of talking to Prof. Ma...
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46:44
32. Life as a PhD student and research in Food science and food engineering
What is life in research like? How ambitious and performance-oriented do you have to be to do a PhD? And - what is the difference between Food science and Food engineering?I this episode, we talk to Dr. Holly Huellemeier, Graduate Resear...
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51:31
31. Data analysis basics and how to make the most of the collected data
Data analysis basics and how to make the most of the collected dataHow do you maximize the information extraction from that data that you may have spent weeks collecting? And what is the difference between ‘precision’ and ‘accurac...
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Season 1
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Episode 31
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1:02:47
30. Collecting quality data with QCM-D – what to consider and pitfalls to avoid
Collecting quality data with QCM-D – what to consider and pitfalls to avoidHow do you maximize your chances of a measurement being successful? And which are the main pitfalls to avoid when planning and executing experiments?
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Season 1
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Episode 30
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44:31