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glial models, multi-electrode array (MEA), and multi-omic profiling to dissect neuroimmune interactions. You will lead experimental design, data generation, and integration across molecular and functional
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
translational research. Our work bridges data science and oncology by pursuing two main directions: (1) leveraging clinical and multi-omics data to generate hypotheses, uncover novel cancer vulnerabilities, and
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of multi-omic data Programming Proficiency: Strong knowledge of Python, C/C++, Julia, and other relevant programming languages Ability to model Argonne's core values of impact, safety, respect, integrity
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About Us The Centre for Human & Applied Physiological Sciences (CHAPS) is situated within the School of Basic & Medical Biosciences(within the Faculty of Life Sciences and Medicine), which is led by
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. Department: Human & Applied Physiological Sciences. Contact details:Robert Seaborne. robert.seaborne@kcl.ac.uk Location: Guy's Campus. Category: Research. About Us The Centre for Human & Applied
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supported by our college-level instructional design team for course development and delivery and by our research core for grant development and submission. Dr. Jinling Liu’s laboratory (https
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: 279354599 Position: Postdoctoral Research Associate Description: The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/ ) at the Andlinger Center for Energy and
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
of the university hospitals in Germany. The group of Prof. Dr. med. Kaan Boztug at the Clinic of Pediatric Immunology and Rheumatology (Centre of Pediatric, University Hospital Bonn) offers a Postdoctoral position in
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Postdoctoral Research Position – Molecular Biophysics MetroHealth Medical Center, Case Western Reserve University Cleveland, Ohio The Center for Cancer Research at MetroHealth Medical Center, Case
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mechanisms available in multi-parametric MRI, we aim to establish deep learning models that predict biomarkers of diseases progression and response to therapies, with applications in brain tumours and neuro