Sort by
Refine Your Search
-
workshops, augmented by international experiences. YOUR OPPORTUNITIES: Working on a cutting-edge research topic related to the interdisciplinary field of Solvation Science and completing your doctorate degree
-
techniques in both space and time (e.g., correlated APT, TEM, FIM, EBIC, EBSD, XPS Kelvin probe microscopy, machine learning augmented analysis techniques) Experimental and computational analysis of transport
-
amenable to the clinics as a valuable tool in cancer diagnosis, prognosis and therapy. PhD Project: Modulation of RNA modification in cancer by synthetic mRNA The PhD student will develop mRNAs that augment
-
Retrieval-Augmented Generation (RAG) for data retrieval and knowledge inference implementation of your machine learning pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with