14 phd-signal-processing Postdoctoral positions at University of Houston Central Campus
Sort by
Refine Your Search
-
interest • Report scientific results in peer-reviewed academic journals and talks. Required Knowledge, Skills, and Abilities: • PhD. in Physics, Chemistry, Material Science, Photonics or related field
-
samples and • Apply geochemical modelling techniques to the processing and interpretation of existing isotopic data. • Lead in the development and submission of high-quality research manuscripts and develop
-
members across electrical engineering, earth science, signal processing, and machine learning to ensure methodological rigor and practical relevance. Qualifications: -Ph.D. in Electrical Engineering
-
Scale Tissue Atlas" project. -Duties include conducting research on image processing, image alignment, and instrument design and development for the funded projects. -This project will require expertise
-
proficiency in the following areas: programming languages (C, C++, Python), embedded systems prototyping, data analytics, signal processing, academic writing Application should include: Cover Letter, Statement
-
signaling molecules such as TGF-β, VEGFR, integrins, and HMGB1. The candidate will work in close collaboration with experts in protein chemistry, cell biology, and translational ophthalmic research. Express
-
, advanced manufacturing, and bio-signal acquisition, as well as experience working with biocompatible materials and miniaturized platforms for medical applications. They should be comfortable working
-
assessments, support the clinical operation of TCLD and UH-ASK, and enhance the training of graduate students in Clinical Psychology: Child Track and Neuropsychology Track. 1. Receives/Reviews progress and
-
support the CPP research, grant applications, and outreach. During the academic year the fellow will teach one or two courses. Position Qualifications: Required: PhD in Public Policy, Political Science
-
working at the intersection of computer vision, and 3D AI for the built environment. Our goal is to transform how physical environments and infrastructure are captured, analyzed, and monitored using