26 coding-"https:"-"FEMTO-ST"-"UNIVERSITY-OF-BUCHAREST" "https:" "https:" "https:" "https:" "INESC ID" Postgraduate scholarships in Germany
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available1Company/InstituteForschungszentrum JülichCountryGermanyCityJülichGeofield Contact City Jülich Website https://www.fz-juelich.de/portal/home Street Wilhelm-Johnen-Straße Postal Code 52428 E-Mail info@fz
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the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for submanifolds and their temporal dynamics during behavior Leverage dimensionality reduction and
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organisation. Where to apply E-mail karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2025D-187 Requirements Additional Information Website for additional job details https://www.fz
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of offers available1Company/InstituteForschungszentrum JülichCountryGermanyCityJülichGeofield Contact City Jülich Website https://www.fz-juelich.de/portal/home Street Wilhelm-Johnen-Straße Postal Code 52428 E
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/InstituteForschungszentrum JülichCountryGermanyCityJülichGeofield Contact City Jülich Website https://www.fz-juelich.de/portal/home Street Wilhelm-Johnen-Straße Postal Code 52428 E-Mail info@fz-juelich.de Phone +49 2461 61-0
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/InstituteForschungszentrum JülichCountryGermanyCityJülichGeofield Contact City Jülich Website https://www.fz-juelich.de/portal/home Street Wilhelm-Johnen-Straße Postal Code 52428 E-Mail info@fz-juelich.de Phone +49 2461 61-0
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karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2025D-180 Requirements Additional Information Website for additional job details https://www.fz-juelich.de/en/careers/jobs/2025D-180
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JülichCountryGermanyCityJülichGeofield Contact City Jülich Website https://www.fz-juelich.de/portal/home 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
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scientific organisation. Where to apply E-mail karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2025D-182 Requirements Additional Information Website for additional job details https
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Your Job: This PhD project bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding