PhD in Computational RNA Localization in Neurons

University of Copenhagen

København

Presencial

DKK 323.000 - 387.000

Jornada completa

Hace 7 días
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Descripción de la vacante

The University of Copenhagen invites applications for a PhD position in the Gorodkin lab, within the Section for Health Data Science and AI. You will develop predictive computational models of neuronal RNA localization, integrating sequence, structure, and RNA-protein interactions, in a cross-disciplinary setting.

Starting February 1, 2027, the role offers 37 hours weekly, a fixed-term 3-year appointment, and a salary under the Danish state academic pay scale plus pension.

Formación

  • MSc in bioinformatics, computer science, computational biology, or a related area (two-year Danish MSc equivalence).
  • Strong Python experience and Linux/Unix operation.
  • Solid understanding of algorithms, data analysis, and machine learning theory and practice.
  • Familiarity with RNA biology and neuroscience is advantageous.
  • Excellent written and spoken English; strong teamwork.

Responsabilidades

  • Carry out an independent research project under supervision.
  • Complete PhD courses (~30 ECTS).
  • Participate in active research environments, including stays at other teams.
  • Engage in teaching or dissemination related to the PhD project.
  • Write a PhD thesis based on the project.

Conocimientos

Python
Linux/Unix
Algorithms & data analysis
Machine learning
English communication

Educación

Master's degree in bioinformatics or related field

Descripción del empleo

The University of Copenhagen invites applications for a PhD position in the Gorodkin lab, within the Section for Health Data Science and AI. You will develop predictive computational models of neuronal RNA localization, integrating sequence, structure, and RNA-protein interactions, in a cross-disciplinary setting.

Starting February 1, 2027, the role offers 37 hours weekly, a fixed-term 3-year appointment, and a salary under the Danish state academic pay scale plus pension.

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