150 structural-engineering-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions in Austria
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
large initiative that aims to tackle this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics
-
Experience in participating in research projects Didactic skills / experience in e-learning IT skills Knowledge of university processes and structures is desirable Excellent knowledge of English (C1) GFL
-
for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can
-
experience. Excellent written and spoken English and German, minimum level C1. Team player with a hands-on working approach. Strategic and analytical mindset. Ability to structure tasks and set priorities
-
the development of high throughput, sequencing-based microbiome profiling methods, as well as implementation and further development of Oxford Nanopore technology (ONT) based long read sequencing workflows
-
that aims to tackle this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics methodology
-
research methodology and present research findings in a structured way Ability to work independently and as part of a team Flexibility, willingness to learn and travel Excellent command of written and spoken
-
research projects Experience with international cooperations and networks Desirable qualifications are: Knowledge of university processes and structures Experience of supervising students What we offer: Work
-
Experience in participating in research projects Didactic skills / experience in e-learning IT skills Knowledge of university processes and structures is desirable Excellent knowledge of English (C1) GFL
-
large initiative that aims to tackle this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics