Science of Field-Flow Fractionation
Journal Cover Pages
Enhance the visibility of your research by transforming your results into great images featured on published journal covers. We invite you to send us your cover images, so we can showcase them here for everyone to see.
If you would like your journal cover to be shown here as well, please contact us at info@fffseparation.net


Book Recommendations
Have you read or written a new book about FFF? This is the ideal place to present it. Contact us via info@fffseparation.net
Featured Papers






Jobs and Career Opportunities
“FFF channel is looking for a suitable pump to achieve optimum separation results”.
Have you finished your education, are you looking for a new challenge or do you need an FFF expert? The FFF job platform is the right place to go for FFF beginners or experienced professionals. This page is open for companies, universities and research institutes as a job or intern seeking platform. Job seekers can also present their profile anonymously here. For new posts, please contact: info@fffseparation.net
Som stipendiat vil du jobbe med nyskapende forskning på utvikling av lipid nanopartikler og vesikler for målrettet antimikrobiell behandling.
Vi ønsker oss en engasjert kandidat med solid faglig bakgrunn og en lidenskap for forskning. Vi samarbeider med forskningsmiljøer både nasjonalt og internasjonalt, så gode samarbeidsevner er et must! 🌍🤝
📅 Søknadsfrist: 28. februar
Les mer om stillingen under.
Ta kontakt hvis du har noen spørsmål til stillingen eller prosjektet.
As part of the Horizon Europe Marie Skłodowska-Curie Actions MSCA project “Complex lipid membranes for science and technology” – CLIMB, coordinated by Yuri Gerelli, we are now looking for a Doctoral Candidate with a background in separation science (ideally FFF, AF4, CF3) and light scattering techniques (MALS, DLS, SAXS) for the characterization of novel nanomedicine formulations such as mRNALNP!
You will conduct your research at Postnova Analytics Headquarters in Landsberg and be enrolled at the Johannes Gutenberg-Universität Mainz under the academic supervision of Peter Langguth.
We’re looking forward to receiving your application! More information can be found here!
Mechanical Engineer & Microfluidics Specialist
Dr. Shad is a highly skilled mechanical engineer with a PhD from the University of Utah. Specializing in microfluidic device design and biomedical device optimization, Dr. Shad has developed advanced computational models using ABAQUS, COMSOL, SolidWorks, and ANSYS Fluent, and is proficient in R, Python, and MATLAB.
As a Graduate Assistant at the University of Utah, Dr. Shad led research on ion separation, nanoparticle separation, and the efficacy of local anesthetics, employing high-performance computing and advanced statistical methods. Notable projects include the optimization of CyElFFF devices for ion separation and the fabrication of novel electrode materials to enhance separation performance.
Dr. Shad is also dedicated to education and mentorship, overseeing senior capstone projects and teaching courses in Microfluidics, Fluid Mechanics, Material Science, and Heat Transfer. His work has been presented at international conferences and published in leading journals.
Dr. Shad is open for job opportunities in mechanical engineering and biomedical research
LinkedIn: https://www.linkedin.com/in/mhmsh/