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Entry Level Computer Science Research Jobs in Washington

Cherokee Federal

Computer Scientist - Mid

Reston, VA · On-site

... research, and contribute to the Defense Industry Enterprise's integrated all-source analysis of ... Employs mathematics, statics, information science, artificial intelligence, machine learning ...

Cherokee Federal

Computer Scientist - Mid

Reston, VA · On-site

... research, and contribute to the Defense Industry Enterprise's integrated all-source analysis of ... Employs mathematics, statics, information science, artificial intelligence, machine learning ...

Cherokee Federal

Computer Scientist - Mid

Reston, VA · On-site

... research, and contribute to the Defense Industry Enterprise's integrated all-source analysis of ... Employs mathematics, statics, information science, artificial intelligence, machine learning ...

Cherokee Federal

Computer Scientist - Mid

Reston, VA · On-site

... research, and contribute to the Defense Industry Enterprise's integrated all-source analysis of ... Employs mathematics, statics, information science, artificial intelligence, machine learning ...

Leidos

Cryptologic Computer Scientist-2

Odenton, MD

$87K - $157K/yr

Relevant experience in computer systems research; simulation/model development and prototyping; software design; programming; computational science; algorithm analysis and design; reverse engineering ...

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Entry Level Computer Science Research information

How to make $10,000 a month with no degree?

Entry level computer science research roles typically do not pay $10,000 per month without advanced skills or experience. To increase earning potential, developing expertise in high-demand areas like machine learning, cybersecurity, or software engineering, along with certifications and a strong portfolio, can help. Freelance work, consulting, or building scalable projects may also contribute to higher income over time.

What professions make $200,000 a year without a degree?

Entry-level computer science research roles typically do not pay $200,000 annually without advanced degrees or significant experience. High-paying tech jobs such as software engineering, data science, or cybersecurity positions often require specialized skills, certifications, or experience, and reaching a $200,000 salary usually involves several years in the field or working in senior or specialized roles.

What is the difference between Entry Level Computer Science Research vs Entry Level Software Developer?

AspectEntry Level Computer Science ResearchEntry Level Software Developer
Required CredentialsBachelor's degree in CS or related field; research experience beneficialBachelor's degree in CS or related field; coding skills essential
Work EnvironmentResearch labs, academic institutions, R&D departmentsTech companies, startups, software firms
Employer & Industry UsageUniversities, research institutes, tech companiesSoftware development firms, tech industry
Common Search & Comparison IntentUnderstanding research-focused roles in CSEntry-level coding and development roles

Entry Level Computer Science Research roles focus on exploring new algorithms, theories, and innovations within academic or research settings, often requiring research experience. In contrast, Entry Level Software Developer positions emphasize coding, building applications, and deploying software in industry environments. Both roles require a bachelor's degree in CS, but their work environments and daily tasks differ significantly.

What are entry level computer science research positions?

Entry level computer science research positions are roles designed for individuals who have recently graduated with a degree in computer science or a related field and are interested in gaining experience in research. These positions typically involve assisting with research projects, conducting experiments, analyzing data, and writing reports under the guidance of senior researchers or professors. They are often found in academic institutions, research labs, or tech companies and can serve as a stepping stone toward more advanced research or graduate studies. Candidates are usually expected to have a foundational understanding of computer science principles and some experience with programming or data analysis.

Is computer science dead due to AI?

Entry level computer science research roles continue to be in demand as AI advances, requiring skills in programming, algorithms, and data analysis. AI tools can augment research but do not replace the need for foundational computer science knowledge and critical thinking. Staying current with emerging technologies and gaining relevant certifications can enhance job prospects in this evolving field.

How to start research work in computer science?

To start research work in computer science, begin by gaining a strong foundation in programming, algorithms, and data structures through coursework or self-study. Identify your area of interest, read relevant research papers, and seek opportunities such as internships or assistant roles to gain practical experience and mentorship.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Researcher, and why are they important?

To excel as an Entry Level Computer Science Researcher, you need a solid background in computer science fundamentals, programming, and data analysis, typically supported by a relevant bachelor's degree. Familiarity with programming languages (such as Python, Java, or C++), research tools (like MATLAB or R), and version control systems (like Git) is often required. Strong problem-solving abilities, critical thinking, and effective written and verbal communication make candidates stand out. These skills enable researchers to contribute to innovative projects, collaborate with peers, and clearly present findings in a rapidly evolving field.

What are typical daily tasks and research activities for someone in an entry level computer science research position?

In an entry level computer science research role, your daily tasks often include reviewing recent literature, coding and running experiments, collecting and analyzing data, and documenting results. You’ll likely collaborate with senior researchers, attend group meetings to discuss progress, and assist with preparing papers or presentations. The work environment is usually team-oriented, with ample opportunities to learn from mentors and contribute to ongoing projects. This hands-on experience helps you build both technical and analytical skills that are essential for advancing in research-focused careers.
What are the most commonly searched types of Computer Science Research jobs in Washington? The most popular types of Computer Science Research jobs in Washington are:
What are popular job titles related to Entry Level Computer Science Research jobs in Washington? For Entry Level Computer Science Research jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Research jobs in Washington look for? The top searched job categories for Entry Level Computer Science Research jobs in Washington are:
What cities in Washington are hiring for Entry Level Computer Science Research jobs? Cities in Washington with the most Entry Level Computer Science Research job openings:
Entry Level Computer Science Research jobs near you
Assistant Research Scientist (PREP0004370)

Assistant Research Scientist (PREP0004370)

Johns Hopkins University

Gaithersburg, MD • On-site

Full-time

Posted 20 days ago

Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 205 frontline employees who took The Breakroom Quiz

231st of 882 rated healthcare providers

Job description

Description
PREP Research Associate
This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title:
SI meets AI: Neural Network-powered Digital Twin for Advancing Primary Standards
The work will entail:
We propose to develop physics- and empirically informed digital twin representations for high-impact SI realizations of mass, voltage, and resistance that are advancing towards commercialization. Leveraging recent advancements in artificial intelligence (AI), including neural networks and digital twins, we expect to bypass the conventional, iterative prototyping and development cycle. Rather than taking decades to achieve an optimal design, our digital twin representations will enable rapid, offline optimization of their respective real-life embodiments, significantly accelerating time to market.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
• Exploring AI networks for Regression models of Physical SI measurements
• Exploring AI networks for image classification of graphene data
• Create presentation material of the results
Qualifications
§ US citizenship is preferred.
§ PhD Candidate in Physics with 2 or more years of relevant experience.
§ Expertise in Pytorch/Python and state of the Art AI models like vision transformers and advanced CNNs.
§ Ability to build deployable complex software solutions for image reconstruction.
§ Strong oral and written communication skills and strong presentation skills.
Application Instructions
Please upload the following with your application:
• CV/Resume
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
• Self portraits
• Phone number
• Home address/Country
• Citizenship status
• Languages spoken
• Sex/Gender
Privacy Act Statement
Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.

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