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profile Applicants should hold a PhD in protein biochemistry, mitochondrial biology or similar. Essential: Experience in sample preparation for cryoET studies Solid experience and documented background in
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mathematical and computational techniques, it is essential to have experience in mathematical modelling / dynamical systems theory / numerical methods / coding. An ideal candidate would have a PhD, or
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well as collaboration with clinicians for human tissue studies. Profile Essential You have an international PhD in physiology, neuroscience, biomedical sciences, or related fields. You are an expert in molecular biology
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(TBI). The research will use in vitro and in vivo mouse models. Qualifications: 1). Recent PhD or equivalent degree in neuroscience, molecular biology, physiology, or cerebral vascular biology. 2
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at relevant international conferences;Contribute to grant writing and research proposals, as well as participate in other projects where the senior researchers are involved;Mentor graduate students (MSc and PhD
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at conferences and seminars. The successful candidate will be required to work in collaboration with other postdocs and PhD students in the lab. As such, the ability to work in a team is essential. This role will
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described below? Are you our future colleague? Apply now! Education The candidate should have a PhD degree in Chemistry, Chemical Engineering, Electrochemistry or related fields. Experience and skills
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to disseminating scientific results to the public and taking part in patients and public involvement and engagement activities; Contributing to MSc and PhD students supervision, as requested and appropriate
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person); Contributing to disseminating scientific results to the public and taking part in patients and public involvement and engagement activities; Contributing to MSc and PhD students supervision, as
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or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning