PostDoc Neural Circuits Dysfunction Lab

PostDoc Neural Circuits Dysfunction Lab

Champalimaud Foundation

Lisbon, Portugal

The selected candidate will

Integrate the Neural Circuits Dysfunction Lab to be the researcher responsible for the implementation of a recently funded project that uses a mouse model to study task-specific dystonia.

The postdoc will:

  • Be responsible for keeping the execution of the tasks on track;
  • Build/optimize the behavioral setups;
  • Perform stereotaxic surgeries in mice for AAV vector injections, fiber and electrode implants;
  • Be running operant behavior tasks in freely moving mice;
  • Develop code for data acquisition and data analysis;
  • Write supporting materials and documentation for code and data dissemination;
  • The postdoc will have support from the rest of the group for these tasks, and more specifically from a PhD student and a Masters student that will be allocated to this project.

Required Education Level

  • PhD Degree or equivalent.

Research Field

  • Neurosciences.

Required Languages

  • Fluency in scientific English is indispensable, both in written and oral expression.

Skills/Qualifications

Essential skills

  • Animal experimentation certification (Felasa A or equivalent);
  • Experienced with stereotaxic surgeries in mice;
  • Experienced in running behavioral experiments in mice;
  • Programming skills, preferably in Python.

is preferable

  • Having a Portuguese DGAV accreditation to do animal experimentation;
  • Previous experience with calcium imaging or electrophysiology in vivo;
  • Experience with EMG recordings in vivo;
  • Experience with the ‘Bonsai’ software;
  • Strong organizational skills and ability to work independently;
  • Team spirit, reliability, and sense of responsibility;
  • Demonstrates potential for technical proficiency, creativity, collaboration with others, and independent thought.

Desirable skills that will also be considered

  • Experience in working with complex databases;
  • Experience with the use of computational approaches to model behaviour.

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