123 computer-science-programming-languages-"CNPEM" Postdoctoral positions at Stanford University
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Posted on Wed, 08/07/2024 - 14:53 Important Info Faculty Sponsor (Last, First Name): Boehm, Alexandria Stanford Departments and Centers: Civil and Environ Engineering Oceans Postdoc Appointment Term
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in Neuroscience, Biomedical Engineering, Computational Biology, or a related field. Strong background in signal processing, including neuroimaging and/or electrophysiology (EEG, MEG) data analysis
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or Chemical Engineering. • Prior work experience in hands-on laboratory experimentation. Prior work in microfabrication, engineering design (computer-aided design), and soft lithography. • Potential experience
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is $73,800. Mineral-X (link is external) is offering a postdoctoral fellow position in computational geoscience within the Department of Earth & Planetary Sciences at Stanford University. The project
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Postdoctoral Affairs. The FY25 minimum is $76,383. The Stanford Natural Capital Project seeks candidates to support a research program aimed at the implementation and scaling of natural capital approaches within
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, psychiatry, developmental psychopathology, neuroimaging research (MRI, fNIRS), engineering, computer science, or related fields. Required Qualifications: Doctoral degree (PhD, MD, or equivalent) conferred by
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transcriptomics techniques especially spatial transcriptomics. Experience with mass spectrometry is an advantage. Background in breast cancer biology is an advantage. Strong programming skills in languages such as
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, minimal residual disease (MRD) detection, and the multi-omic characterization of various cancer types. Required Qualifications: PhD in related fields such as computational biology, cancer biology, and
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, Computer Science, Biomedical Engineering, or related field. • Demonstrated expertise in at least one of the following: – Large‑scale macaque electrophysiology (ideally Neuropixels) – Cognitive & behavioural
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technology and b) large-scale data collection in a diverse sample spanning over 250 schools across 30 states to answer three significant questions regarding the mechanisms of word reading difficulties such as