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Your Job: At the Electrocatalysis department of Prof. Karl Mayrhofer, we offer a PhD position within the team Nanoanalysis of Electrochemical Processes. Lead by Dr. Andreas Hutzler, the team is
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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Utilize multi-photon optical imaging to study neuro-vascular coupling in the mammalian brain
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 5 days ago
AI-assisted research processes across computational biology. Prototype, benchmark, and iteratively improve agentic systems with a strong focus on robustness, transparency, and reproducibility. Conduct
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https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates are expected to be held in week 10, 2026 Questions For specific information about the PhD fellowship, please
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Learning for Medical Imaging and Multi-Modal Data in Cancer Research Apply for this job See advertisement About the position Position as PhD Research Fellow in Deep Learning available at the Department
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. Experience in neurobiology of addiction, animal behavior (self-administration, stereotaxic surgery), and/or molecular techniques (PCR, western blot, immunohistochemistry). Experience in neuronal imaging is a
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, surgery, injections, and model generation. Required Qualifications Education: PhD in a biological science major or equivalent doctoral degree. Work Experience: Experience in liver research and metabolism is
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for Pulmonary and Vascular Biology at UT Southwestern Medical Center (Dallas TX, USA) is seeking two self-motivated postdoctoral fellows to join the team to lead multiple NIH-funded projects. The Shaul-Mineo Lab
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their many selective barrier functions. The PhD Fellows will receive cutting edge scientific training, alongside industry-relevant transferable skills, to equip them for careers in the medical technology
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neuropsychological assessment with brain imaging data (e.g., functional MRI, structural MRI, EEG) Proficiency with neuroimaging analysis software or electrophysiological data processing Experience conducting clinical