Sort by
Refine Your Search
-
their subsequent simultaneous analysis. This project aims at overcoming these challenges to reliably measure atmospheric levels of PFASs and model their respective emission strengths in Switzerland
-
components and nucleic acids interact and self-assemble. Apply data analysis and modeling to deepen understanding of nanoparticle architectures, and contribute to standardization-relevant method development
-
programming, modelling, and data analysis skills. Experience with formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral skills
-
analysis. Experience in formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral communication skills in German are desirable
-
. Demonstrated aptitude for scientific creativity and non-conventional thinking. Fluent in written and oral English. Self-motivated, critical-thinking, open-minded and communicative, with a strong interest to work
-
. Demonstrated aptitude for scientific creativity and non-conventional thinking. Fluent in written and oral English. Self-motivated, critical-thinking, open-minded and communicative, with a strong interest to work
-
. Demonstrated aptitude for scientific creativity and non-conventional thinking. Fluent in written and oral English. Self-motivated, critical-thinking, open-minded and communicative, with a strong interest to work
-
associated with treating bone fractures are escalating rapidly. This growing demand underscores the critical need for advanced medical implants that provide effective, long-lasting solutions to support bone
-
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