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, seminars, and colloquia. Qualifications Required Qualifications A PhD in neuroscience, psychology, or a related field. Excellent communication, writing, and presentation skills. Preferred Qualifications
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written Communication Skills. Certificates/Credentials/Licenses M.D. or PhD Required Computer Skills General office suite, GraphPad-Prism, Endnote, Snapgene, and willingness to learn lab specific software
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commitment to integrating AI in their scholarship and instruction and may come from any discipline. A PhD is expected prior to the start date. The Postdoctoral Scholar will serve as one of the Initiative’s AI
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: Christopher T. Rentsch, PhD, FISPE, [email protected] Website: https://medicine.yale.edu/internal-medicine/vacs/ Introduction to the Research Group The Veterans Aging Cohort Study (VACS) has been
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 2 months ago
or PhD in the field of biophysics / physics, biology, biochemistry, biotechnology, biophysical chemistry Qualifications and knowledge: experience in the production and analysis of recombinant membrane
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of the Leibniz Lab PhD program as part of the employment (E13, 33%) at ZPID. Your profile: PhD in psychology, communication science, or a related discipline Experienced in quantitative research on science
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: A PhD degree in Materials Science and Engineering or a closely related discipline. A strong background in physical vapor deposition and chemical vapor deposition will be a clear advantage. An
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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 2 months ago
using soft X-ray ptychography and tomography, and present and publish your results at international conferences and in peer-reviewed journals. Your Profile Completed PhD in physics, electrical engineering
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, analysing results and writing scientific articles. To qualify for this role, you need to have the following qualifications/experience: Have a PhD in chemistry, physics, engineering or a closely related
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to develop the mathematical foundations for next-generation Digital Twins: computational representations of physical systems that preserve geometric structure, physical consistency, and mathematical invariants