172 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Forschungszentrum Jülich
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
international research contexts Your Profile: Excellent Master’s degree in mechanical engineering, energy systems, computational engineering, or a related field Strong background in numerical methods and applied
-
technology Strong mathematical education, in particular in relation to linear algebra Strong programming experience Ability to effectively communicate in written and spoken English Ability to work autonomously
-
surrogates or approximators, such as random forests or shallow neural networks, trained to mimic the outputs of the original computations at a fraction of the cost. This hybridization aims not only
-
results Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, or a related field Proficiency in at least one programming language (Python, C
-
) conferences Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further
-
environment within the Collaborative Research Centre TPChange program funded by the German Research Foundation and the European Research Infrastructure IAGOS Opportunities to attend conferences abroad and visit
-
candidates which are explored in more depth. In particular you will work on the extension, development and analysis of new quantum algorithms for near-term and fault tolerant quantum computers for drug
-
visualization in the Lipidomics Informatics for Life Science network in the de.NBI / ELIXIR-DE network Participation in working groups of the HUPO-PSI MS standardization initiative, ELIXIR Metabolomics and
-
, Computational Engineering Science, Chemical Engineering or a comparable course of study Previous experience with programming in Python Experience in modeling, simulation or machine learning Fluent / good
-
efficient information flow between the project coordinator, interdisciplinary teams, and external partners Your Profile: Completed university degree (bachelor) in natural sciences, engineering, business