Sort by
Refine Your Search
-
-engineering-and-automation/nonlinear-systems-and-control ) at Aalto University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees
-
at adapting our blood-brain barrier model to predict the brain permeability of extracellular vesicles and therapeutic agents. It by the use of cell culture, automation, high content imaging, TEER and
-
guidelines (Doctoral Students). A good command of English is required. A trial period of six months will be used at the beginning of the employment. The eligible candidate has a suitable master’s degree. In
-
advanced methods for controlling wetting and nucleation, combining cutting-edge surface engineering with high-resolution experimental techniques. Potential applications span from energy-efficient heat
-
an advantage: experience in multimodal data analysis, experience in performing bioinformatics workflows, the use of containers and version control, experience in developing research services or infrastructures
-
condensed matter physics. Excellent command of English. The Finnish language is not required. The selected candidate needs to apply for the study right in doctoral studies at Aalto University School
-
the right to pursue postgraduate studies in the Faculty’s Doctoral Programme LUMETO; (iii) good knowledge of complex analysis and functional analysis as evidenced by transcripts; (iv) good command of written