17 phd-in-power-electronics "Helmholtz Zentrum Potsdam Deutsches GeoForschungsZentrum GFZ" PhD research jobs at Duke University
-
that have led to clinical trials and we now strive to understand anti-tumor B cell responses. The PhD postdoctoral candidate would be a highly motivated immunology trained individual, interested in B cell
-
supportive environment to join our team. A PhD degree is required with training in neuroscience, human physiology, psychology, pharmacology, and/or a related field. Experience with imaging (MRI / fMRI or other
-
. The Postdoctoral Appointee holds a PhD. (or PhD. candidate) or Knowledge, Skills, and Abilities. University. research requirements or other equivalent doctorate Ph.D. in life science (e.g.biochemistry, biophysics
-
Radiation Oncology, and Electrical and Computer Engineering. Job Description: The Computational Image analysis team led by Dr Barisoni and Lafata aims to advance existing imaging techniques and develop novel
-
but are not limited to graft-versus-host disease as well as hematopoietic and T cell reconstitution following transplantation and radiation exposure. Qualifications: A doctoral degree such as MD or PhD
-
departments and contribute to interdisciplinary research initiatives. Preferred Qualifications: • PhD in Neuroscience, Biophysics, Pharmacology, or a related field. • Solid background in mouse modeling
-
) to develop computational methods and also collaborate with other groups in quantitative genomics areas in and outside Duke University. Preferred qualifications: PhD (completed in the last 1-3 years or PhD
-
quantitative field. Strong quantitative research background with proficiency in statistical analysis and programming (R, Python). Excellent communication skills. Demonstrated ability to write scientific papers
-
channel-count micro-ECoG arrays (up to 1000 channels, ~ 1 mm spacing) in collaboration with other labs. The ideal candidate will have a PhD in Neuroscience, Engineering, Psychology, or a related field
-
. Demonstrated ability to write scientific papers. Experience with EHR data, generative models, and natural language processing is preferred. Duke is an Affirmative Action/Equal Opportunity Employer committed