299 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions at Nature Careers
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postdoctoral researcher will work in an educational research team led by Dr. Christina Siry, and will coordinate the CHANGES project and related research and development by: Co-developing and co-teaching GCE
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Postdoctoral Position: Molecular Mechanisms and Neural Circuits of Fear Memory, Maternal and Social Behavior Rutgers University, New Jersey, USA, laboratory of Dr. Gleb Shumyatsky. A key question in
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fellow, you will be empowered to own a project end-to-end, from model design and assay development to data generation, analysis, and publication. You will be immersed in a scientifically rich and
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advanced programming skills in a high-level computer language (Python or related) hands-on experience with instrumentation development excellent oral and written English skills collaborative mindset Skills
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part of the research groups of Drs. Lars Angenent and Alfred Spormann in a joint collaborative project, which also includes Prof. Bruce Logan of Penn State University. We are seeking highly talented and
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Job Description A postdoctoral research associate position is available with Dr. Christoph Gorgulla. This project aims to advance computational drug discovery by developing and applying innovative
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deleted in compliance with data protection regulations. In case of any further queries relating to the field of activity, please contact Dr. Ute Weckmann either via email or phone +49 (0)331-6264-3474
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. The research group of Dr Hanna Hörnberg at the Max Delbrück Center for Molecular Medicine (MDC) is seeking a Postdoctoral Researcher (m/f/d) to study the modulation of synaptic translation in health and disease
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. Support for fellowship applications and professional development. To Apply Applicants should send (1) a CV with contact information for 2-3 references and (2) a cover letter describing their interest in
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Clinical Cooperation Unit (headed by Prof. Dr. med. Johannes Betge) aims to identify cancer vulnerabilities and uncover mechanisms of treatment resistance by using patient-derived cancer models and high