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Wireless Communication Postdoctoral Research Jobs in Virginia

... Wireless@Virginia Tech ( in the Bradley Department of Electrical and Computer Engineering at ... research efforts in areas including LEO-based PNT, opportunistic navigation using communication ...

Faculty - Postdoctoral Research Associate (12 months) Worker Sub-Type: Fixed Term (requires end ... communicate knowledge in marine and coastal science to the Commonwealth of Virginia, the nation ...

... for wireless sensing, communication, and implantable applications. The postdoctoral associate will be expected to: * Complete independent research in accordance with current ongoing research ...

Research Faculty Senior management: Natural Resources Department: Geography Location: Blacksburg ... Open, Communications Earth & Environment, Computers, Environment and Urban Systems, and Travel ...

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Wireless Communication Postdoctoral Research information

What is a wireless communication postdoctoral researcher?

A Wireless Communication Postdoctoral Researcher is a scientist who has completed their PhD and is now conducting advanced research in the field of wireless communication. Their work often involves developing new technologies, improving network performance, and addressing challenges such as signal interference and data security. They typically work in academic institutions, research labs, or industry, collaborating with other experts to advance the field. Their research can contribute to innovations in 5G, IoT, and future wireless systems.

What are the key skills and qualifications needed to thrive as a wireless communication postdoctoral researcher?

A Wireless Communication Postdoctoral Researcher typically needs a PhD in electrical engineering or a related field with a strong background in wireless systems, signal processing, and communication theory. Familiarity with simulation tools like MATLAB, NS-3, and proficiency in programming languages such as Python or C++ are commonly required, along with experience in publishing research and applying for grants. Exceptional analytical thinking, problem-solving, and the ability to communicate complex ideas clearly are crucial soft skills. These competencies enable researchers to advance cutting-edge wireless technologies, collaborate effectively with academic and industry partners, and contribute impactful findings to the field.

What types of collaborative projects can I expect to participate in as a wireless communication postdoctoral researcher?

As a Wireless Communication Postdoctoral Researcher, you will often collaborate on multidisciplinary projects involving faculty, industry partners, and graduate students. These collaborations may focus on developing new wireless protocols, testing cutting-edge communication hardware, or contributing to standardization efforts. You'll likely participate in joint meetings, co-author research papers, and sometimes supervise student researchers. The work environment is typically highly collaborative, fostering opportunities to expand your professional network and gain exposure to diverse research methodologies.

What are popular job titles related to Wireless Communication Postdoctoral Research jobs in Virginia?

For Wireless Communication Postdoctoral Research jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Wireless Communication Postdoctoral Research jobs in Virginia look for?

The top searched job categories for Wireless Communication Postdoctoral Research jobs in Virginia are:

What cities in Virginia are hiring for Wireless Communication Postdoctoral Research jobs?

Cities in Virginia with the most Wireless Communication Postdoctoral Research job openings:

Postdoctoral Research Associate

University of Virginia

Charlottesville, VA • On-site

Full-time

Re-posted 28 days ago


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Job description

We are looking for a highly motivated Postdoctoral Research Associate to join the Platig Lab at the University of Virginia. The candidate would be part of an interdisciplinary team of computational biologists, data scientists, and RNA biologists investigating the role of alternative splicing in Type 1 Diabetes (T1D). The project will leverage large-scale generation (400+ samples) of long-read RNA-seq from CD4+ T cells in a T1D cohort across multiple time points. A core aim of this project will be to develop interpretable machine learning approaches to understand how RNA binding proteins (RBPs) regulate observed splicing changes and to test putative mechanisms experimentally.
This is a unique opportunity to work at the intersection of machine learning, RNA biology, and immunology, with translational relevance to T1D.
Postdoctoral employment is temporary and is normally limited to an individual who has been awarded a Ph.D. or equivalent doctorate within the previous five years and who will be involved in full-time research or scholarship at the University. Employment as a Postdoctoral Research Associate is viewed as training and is preparatory for a full-time academic or research career, is supervised by a senior scholar, and allows the appointee to publish the results of his/her research or scholarship during the training period
This is a 12-month appointment with the possibility of renewal contingent upon satisfactory performance and the availability of funding.
Responsibilities
  • Integrate long-read and short-read RNA-seq with RBP data (motifs, eCLIP) for splicing and isoform analysis
  • Develop machine learning methods to predict functional RNA regulatory elements
  • Collaborate with wet-lab partners to design follow-up experiments
  • Publish findings and present at national conferences
  • Contribute to grant writing and mentorship of graduate students

Minimum Qualifications
  • PhD (awarded or imminent) in bioinformatics, computational biology, or a closely related field
  • Demonstrated experience using long- or short-read RNA-seq to understand alternative splicing
  • Experience using machine learning techniques in genomics
  • Strong publication record
  • Ability to communicate computational techniques to a broad audience

Preferred Qualifications
  • Experience modeling RNA binding proteins
  • Familiarity with T1D
  • Experience with machine learning interpretability approaches (xAI)

Physical Demands
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
Salary will be commensurate with education, experience, and NIH guidelines.
This is an Exempt-level, benefitted position. For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits .
This position is based in Charlottesville, VA, and must be performed fully on-site.
To learn more about UVA and in the Charlottesville area, visit UVA Life and Embark CVA .
Application review/deadline This position will remain open until filled.
Background checks and pre-employment health screenings will be conducted on all new hires prior to employment.
Please apply online through Online and search for R0083627. Complete the application and upload the following required materials:
Internal applicants may search and apply for jobs on the UVA Internal Careers website .
  • Cover letter
  • Resume

Upload all materials into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive full consideration.
Internal applicants may search and apply for jobs on the UVA Internal Careers website .
Reference checks will be completed by UVA's third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.
For questions about the application process, please contact Bill Crane, Xer5ff@virginia.edu.
For questions about the position, please contact Jennifer Dean, jmdean@virginia.edu
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

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