-
this field, we are looking for a PhD candidate for the development of novel multi-constituent nanopastes. Central questions are suitable paste chemistries and the interaction between organic and in-organic
-
: surface functionalization chemistries, spectrophotometric analysis, analysis of release kinetics and synthesis of hydrogels (nanocomposites). Our offer The work will be carried out at Empa St. Gallen (under
-
of patients with LSS + DS: the true, dynamic assessment of DS and the analysis of paraspinal muscle composition. In Aim 1, we will use quantitative dynamic biplanar radiographic imaging (DBRI) - X-ray-based
-
programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should
-
willingness to learn A solid foundation in experimental research, data analysis, and scientific methods Interest in machine learning and data-driven approaches to materials discovery Strong interest in hands
-
analysis Creative scientific mindset Full proficiency in written and oral English, French is an asset Self-motivated, critical-thinking, open-minded and communicative, with a strong interest to work in an
-
strong willingness to learn A solid foundation in experimental research, data analysis, and scientific methods Interest in machine learning and data-driven approaches to materials discovery Strong interest