Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, combining and organising data into analysis-ready datasets carrying out statistical analyses and modelling using the R programming language conducting cost, benefit and effectiveness analyses under
-
++, or similar) for simulation and data analysis. Experience in managing multiple concurrent tasks and priorities independently and track record of meeting project deadlines and delivering results without constant
-
astrophysics Machine learning or data analysis for physical sciences Strong programming skills (e.g., C/C++/Fortran and Python) and familiarity with reproducible workflows/version control. Motivation to pursue
-
such as breakwaters by using computational tools developed in our research group. These tools are based on discrete element method and they have bee validated against experimental data. You will start your
-
and oral communication skills in English Motivation for working in the laboratory, carrying out experiments, and data analysis Experience in one of the following fields is required from the chosen
-
21 Jul 2026 Job Information Organisation/Company AALTO UNIVERSITY Research Field Engineering Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application Deadline 17 Aug
-
mechanical engineering. We are expecting you have the following knowledge, skills, and experiences. Master-level knowledge of analysis and design methods on fire resistance of cold-formed steel structures
-
or similar. Running social simulations with AI agents using platforms like Concordia or similar. Coding in Python or a similar language for simulation, visualization, and advanced statistical analysis (causal
-
manufacturing (printing, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR
-
, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR, Raman, XAS, SAXS, etc