29 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" Postgraduate positions in Germany
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data sets, which have to be evaluated in order to obtain a holistic understanding of very complex systems. Visit HDS-LEE at: https://www.hds-lee.de/ Your tasks in detail: Review existing literature
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(including data science courses, soft skill courses and annual retreats): https://www.hds-lee.de/about/ A qualification that is highly valued in industry 30 days of annual leave and flexible working
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, soft skill courses and annual retreats): https://www.hds-lee.de/about/ A qualification that is highly valued in industry 30 days of annual leave and flexible working arrangements, including partial
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further development of your personal strengths, e.g. via a
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retreats) https://www.hds-lee.de/about/ A qualification that is highly welcome in industry 30 days of annual leave and flexible working arrangements, including partial remote work Further development of your
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Leipzig Website https://www.ufz.de Street Permoserstraße 15 Postal Code 04318 E-Mail info@ufz.de Phone +49 341 6025 1269 Fax +49 341 235-2649 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp
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Supervisors: https://www.fz-juelich.de/judocs 30 Days of annual leave and flexible working arrangements, including partial remote work Targeted services for international employees, e.g. through our
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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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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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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