FA iPSC Neuron Modeling Research Associate

1000scholars; Sheffield; In loco; GBP 38.000 - 46.000; Tempo pieno

Descrizione del lavoro

Sheffield Institute for Translational Neuroscience (SITraN) is seeking a Postdoctoral Research Associate in the Division of Neuroscience to study Friedreich’s ataxia using human iPSC-derived neuronal models. You will work with a multidisciplinary team to plan experiments, analyze data, and advance translational approaches.

The role involves refining research methodologies, contributing to publications and funding applications, and guiding students and junior researchers in a collaborative SITraN

Competenze

• PhD level in Neuroscience or related field with strong lab-based training.
• Experience planning and delivering independent research within a team.
• Demonstrated expertise in human iPSC models and neuronal differentiation.
• Experience with iPSC culture, imaging and electrophysiology is a plus.

Mansioni

• Plan and deliver experimental studies using human iPSC-derived neuronal models.
• Analyze and interpret data; troubleshoot methodology.
• Contribute to publications, presentations and grant applications.
• Provide guidance to students and junior researchers.

Conoscenze

Data analysis

Experimental planning

Independent research

Collaborative work

Troubleshooting

Formazione

PhD in Neuroscience or related

Strumenti

iPSC culture

Differentiation

Immunocytochemistry

Fluorescence microscopy

Patch-clamp electrophysiology

RNA sequencing

Molecular biology

Descrizione del lavoro

Sheffield Institute for Translational Neuroscience (SITraN) is seeking a Postdoctoral Research Associate in the Division of Neuroscience to study Friedreich’s ataxia using human iPSC-derived neuronal models. You will work with a multidisciplinary team to plan experiments, analyze data, and advance translational approaches.

The role involves refining research methodologies, contributing to publications and funding applications, and guiding students and junior researchers in a collaborative SITraN