23 finite-element-methods Postdoctoral research jobs at UNIVERSITY OF HELSINKI in Finland
Sort by
Refine Your Search
-
POSTDOCTORAL RESEARCHER POSITION IN ECOLOGICAL STATISTICS We are seeking a postdoctoral researcher to develop methods for analyzing large scale biodiversity and ecosystem function data. Our approach is based
-
are seeking a postdoctoral researcher to develop methods for analyzing large scale biodiversity and ecosystem function data. Our approach is based on hierarchical Bayesian models that allow us to integrate
-
theoretical background and a degree in cell and molecular biology (or similar field) and preferably some practical experience in cell culture and/or functional genomics methods. For the Doctoral Researcher
-
. We develop machine learning methods tailored for high-dimensional, multimodal biological data, with applications ranging from single-cell genomics to real-world clinical datasets. We are active
-
scheme for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal performance. The annual gross salary is
-
component based on personal work performance The Doctoral Researcher’s starting salary is approximately 2500 euros/month depending on the qualifications and experience of the candidate. The salary will
-
physics and urban meteorology groups at INAR. The computational aerosol physics group uses computational and theoretical methods to understand cluster and particle formation for atmospherically relevant
-
salary component based on personal performance. The annual gross salary is €42,000 - €46,000. The position will be filled with a six-month trial period. In Finnish universities, the teaching and research
-
on the position. The hired researchers will work as part of the computational aerosol physics and urban meteorology groups at INAR. The computational aerosol physics group uses computational and theoretical methods
-
, calibration, and the development of analysis tools and software. Our key focus areas are the physics of jets, top quarks, and EWSB, including the development of novel machine-learning methods for high-energy