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$11K

$79.4K

$137.5K

How much do 35t jobs pay per year?

As of Jul 6, 2026, the average yearly pay for 35t in the United States is $79,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $136,500.00 per year, depending on experience, location, and employer.

What is a 35T job title?

A 35T is a military occupational specialty in the U.S. Army, known as Military Intelligence Systems Maintainer/Integrator. This role involves installing, maintaining, and troubleshooting intelligence communication systems and equipment, often requiring technical skills and security clearances. It typically involves working with advanced communication tools in a military environment.

How much does a 35T make in the military?

A 35T Military Intelligence Systems Maintainer and Integrator typically earns between $40,000 and $70,000 annually, depending on experience, rank, and location. The role involves working with advanced communication and intelligence systems, often requiring security clearances and specialized training.

Is 35T MOS a good career in the Army?

The 35T Military Occupational Specialty (MOS) in the Army is a signal support systems specialist responsible for installing, maintaining, and troubleshooting communication equipment. It offers opportunities for technical skill development, certifications, and career advancement within the Army's communications field. Whether it is a good career depends on personal interest in technology and communication systems.

What are the key skills and qualifications needed to thrive in the 35T position, and why are they important?

To thrive as a 35T (Military Intelligence Systems Maintainer/Integrator), a solid background in electronics, computer systems, and troubleshooting is required, usually supported by completion of specialized Army training. Familiarity with diagnostic and repair tools, cryptographic equipment, and secure network systems is essential, often along with active security clearance. Strong analytical thinking, attention to detail, and effective communication are standout soft skills for this technical and security-focused position. Mastery of these skills ensures reliable intelligence system operation, mission readiness, and the protection of sensitive information.

What is a 35T job?

A 35T, or Military Intelligence Systems Maintainer/Integrator, is a U.S. Army position responsible for installing, maintaining, and repairing military intelligence (MI) systems and networks. They work with hardware, software, and encryption systems to ensure intelligence operations run smoothly. Their duties include troubleshooting MI equipment, performing system upgrades, and supporting cybersecurity measures. This role is crucial for gathering and protecting sensitive military intelligence. Training includes Advanced Individual Training (AIT) at Fort Huachuca, Arizona.

What civilian jobs can a 35T get?

A 35T, which is a military intelligence analyst, can transition to civilian roles such as intelligence analyst, security analyst, or data analyst. These positions often require skills in analysis, research, and familiarity with intelligence tools and software. Certifications in cybersecurity or data management can enhance employment opportunities in related fields.
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35T jobs near you
Infographic showing various 35T job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 92% Physical, and 8% Remote job distribution, with an average salary of $79,437 per year, or $38.2 per hour.
Post-Doctoral Fellowship in Multi-Parametric MRS

Post-Doctoral Fellowship in Multi-Parametric MRS

Johns Hopkins University

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Posted 5 days ago

Johns Hopkins Medicine rating

7.4

Company rating: 7.4 out of 10

Based on 203 frontline employees who took The Breakroom Quiz

227th of 877 rated healthcare providers

Job description

Description
The Group for advanced MRS, led by Prof. Helge Zöllner at Johns Hopkins University, invites applications for a three-year Post-Doctoral Fellowship. The fellow will develop open-source methods for advancing multi-parametric MR spectroscopy including implementation of novel acquisition and analysis methods for clinical 3T MRI systems and application in aging research. This project will develop and apply advanced MRS methods for fast quantification of concentration and relaxation times to track changes in a large cohort of healthy aging volunteers. The proposed methods can be applied in a wide range of pathologies where simultaneous changes in structure and biochemistry are expected to improve the interpretability of MRS.
Key Responsibilities:
  • Assessing changes in biochemical profiles across the age range:

1. Scan healthy volunteers (20 - 80 years) at 3T MRI
2. Analyze multi-parametric MRS data in Osprey
  • Develop and implement analysis methods for multi-parametric MRS in Osprey

1. Advance existing, in-house analysis methods for multi-parametric MRS
2. Develop novel approaches for 2D linear-combination modeling
3. Contribute novel developments to Osprey MRS toolbox
  • Test and validate developed methods on the available MRI scanners, including:
    • Two custom-built low-field MRI systems (0.26T and 0.35T).
    • A commercial prototype 50mT Halbach scanner.
  • Collaborate with other researchers in the Division, external collaborators or Osprey users.

Qualifications
  • Ph.D. in Physics, Medical Physics, Biomedical Engineering, Neuroscience, Computer Science, or a related field.
  • Strong background in MR physics, including pulse sequence design, image reconstruction, and signal processing.
  • Interest in deep learning techniques applying machine learning to medical imaging.
  • Experience with MR spectroscopy is highly desirable.
  • Strong programming skills in MATLAB, Python, or similar.
  • Ability to work independently as well as in a collaborative research environment.

Application Instructions
Interested candidates should submit the following documents:
  • A detailed CV.
  • A cover letter describing your relevant research experience and career goals.
  • Contact information for two professional references.

Contact Information:
For further details, please contact Prof. Helge Zöllner at hzoelln2@jhu.edu.

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