Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, or multi-physics simulation. Experience and skills · Ideally 3–5 years of experience (including PhD) in one or more of the following: o Finite Element Modelling (FEM), o Multiphysics
-
) Corrosion behavior (electrochemistry & high-temperature oxidation) In-situ monitoring of AM processes Computational skills in: Phase-field modeling, Machine Learning, FEM, DEM, COMSOL Alloy design (CALPHAD
-
conventional methods like nonlinear FEM, and comparing the results to computational observations. 3) Support the educational activities of the Pl through graduate student mentoring, selected lectures, and
-
with FEM or CFD methods and tools such as COMSOL, ANSYS or similar software packages Ideally, experience with thermal and mechanical loads of high-temperature materials Scientific creativity, teamwork
-
comparable field (bachelor's/master's degree) Interest in modern manufacturing technologies and welding processes Experience with Python/data analysis/FEM Structured, independent working style and ability
-
, for example a 4-year bachelor's degree is accepted. Strong written and verbal communication skills in English Meritorious qualifications Powertrain mechanics, tribology Modelling (FEM, CFD) Materials
-
application of machine learning to biomedical data ï‚· Background in computational modeling for neurobiology, including finite element modeling (FEM) or system identification methods in medical applications
-
shaping the change! We support you in your work with: A research topic with strong relevance for future memory technologies Work with a well-established FEM simulation tool Close supervision and integration
-
specifically related to Space applications. This would include CAD design, FEM software analysis, fabrication and assembly abilities, supply chain assessment and identification, hands on assembly abilities
-
record in theoretical and/or computational mechanics Knowledge, Skills, and Abilities Excellent analytical and mathematical skills Proficiency in numerical analysis using finite element method (FEM