Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
NEST: https://nest-simulator.readthedocs.io Your tasks in detail: Work with the NEST main code base and experimental branches Dissect the spiking network simulation cycle into phases and capture the flow
-
Description The selected PhD candidate will participate in the EU-funded HORIZON-MSCA-DN-2024-01 project LipAgg. The LipAgg network brings together partners from 6 European countries and comprises 11 academic
-
Website https://www.fz-juelich.de Street Wilhelm-Johnen-Straße Postal Code 52428 E-Mail info@fz-juelich.de Phone +49 2461 61-0 Fax +49 2461 61-8100 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
-
/InstituteForschungszentrum JülichCountryGermanyCityJülichGeofield Contact City Jülich Website https://www.fz-juelich.de Street Wilhelm-Johnen-Straße Postal Code 52428 E-Mail info@fz-juelich.de Phone +49 2461 61-0 Fax +49 2461
-
Website https://www.fz-juelich.de Street Wilhelm-Johnen-Straße Postal Code 52428 E-Mail info@fz-juelich.de Phone +49 2461 61-0 Fax +49 2461 61-8100 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
-
of offers available1Company/InstituteForschungszentrum JülichCountryGermanyCityJülichGeofield Contact City Jülich Website https://www.fz-juelich.de Street Wilhelm-Johnen-Straße Postal Code 52428 E-Mail info
-
JülichCountryGermanyCityJülichGeofield Contact City Jülich Website https://www.fz-juelich.de Street Wilhelm-Johnen-Straße Postal Code 52428 E-Mail info@fz-juelich.de Phone +49 2461 61-0 Fax +49 2461 61-8100 STATUS: EXPIRED X (formerly
-
learning, physics-informed neural networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes You will develop code for and
-
to neural population coding. As a starting point, we will build upon recent advances in graph neural networks (GNNs), particularly those described by which offer a promising architecture for modelling
-
or http://github.com/modsim. Quantifying the activity of enzymes operating within the large-scale biochemical network is a fundamental challenge in Systems Bio(tech)nology. Here, the unknown parameters must