Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
PNRR, in particular in the field of model-based systems engineering (MBSE) and the development of a model-based digital twin facilitating a fast and rigorous requirements verification process within
-
and production systems. Key responsibilities include: Developing and integrating a shared software/hardware infrastructure and supporting its use in research, education, and communities. Driving cross
-
are looking for candidates who meet the following requirements A PhD degree in molecular biology or biochemistry. Familiarity with protein modeling tools and software solutions. Knowledge and skills in protein
-
for employees. This includes schemes facilitating professional development external link , leave schemes and schemes for sports and cultural activities external link , as well as discounts on software and other
-
. This includes schemes facilitating professional development external link , leave schemes and schemes for sports and cultural activities external link , as well as discounts on software and other IT products. We
-
inviting applications for two postdoctoral researcher positions with interest and expertise in computational structural biology and research software development. These positions are part of GANANA, a
-
link , as well as discounts on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees
-
2025 and include: a specific motivation letter a CV including at least three references a list of publications one or more links to software you wrote or contributed to About the department
-
mechanics, celestial mechanics, mission design, and guidance and control systems; further develop open-source software developed by the ACT, for example, pygmo (optimisation), pykep (astrodynamics), dCGP
-
working experience with relevant software for quantitative data analysis (preferably Stata). You have experience with or knowledge of social network analysis. You have experience with interdisciplinary