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Computer Science Internship Jobs in Cheshire, CT

Dhalite Inc.

BI Analyst

New Haven, CT · On-site

Internship, academic projects, or prior experience in Data Analytics or Business Intelligence. Qualifications * Bachelor''s degree in Computer Science, Information Systems, Data Analytics, Business ...

Bausch Advanced Technologies

IT Technician

Clinton, CT · On-site

$22 - $25/hr

Associate's degree in Information Technology, Computer Science, or related field (or equivalent ... Prior internship or hands-on experience is a plus but not required Preferred Skills (Not Required)

AMETEK, Inc.

IT Intern

Waterbury, CT · On-site

$15.25 - $20.50/hr

Internship opportunity within the IT team to gain hands-on experience in technical support and ... Currently pursuing a Bachelor's degree in Information Technology, Computer Science, or a related ...

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All JobsComputer Science JobsComputer Science Internship JobsComputer Science Internship Jobs in Cheshire, CT

Computer Science Internship information

What are internship opportunities in computer science?

An internship in computer science provides on-the-job training for students who study computer science. Your duties in this program depend on the focus on the internship. Some interns get experiencing coding and developing software, applications, or website user interfaces. As an intern, you work under the direction of programming and development professionals. Your responsibilities include writing lines of code, testing and debugging software, learning computer languages in a realistic setting, and functioning as part of a team. Other computer science internships focus on providing technical support, cybersecurity services, or administration services as part of an IT team.

What is a computer science internship?

A computer science internship is a temporary position that allows students or recent graduates to gain practical experience in the field of computer science. Interns typically work on real-world projects, assisting with programming, software development, data analysis, or IT support under the supervision of experienced professionals. These internships provide valuable hands-on skills, networking opportunities, and insight into potential career paths within technology industries.

What types of projects does a computer science intern typically work on, and how much autonomy can I expect?

Computer Science interns often contribute to real-world projects such as developing new software features, debugging code, automating processes, or supporting infrastructure. While the level of autonomy varies by company, interns are generally given meaningful tasks and encouraged to collaborate with senior engineers and cross-functional teams. You'll likely participate in code reviews, agile sprints, and team meetings, gaining hands-on experience and feedback. Many organizations assign mentors to guide interns, helping them balance independence with structured learning and support.

What are the key skills and qualifications needed to thrive as a computer science intern, and why are they important?

To thrive as a Computer Science Intern, you generally need foundational knowledge in programming, algorithms, and data structures, often supported by progress toward a computer science degree. Familiarity with coding languages such as Python, Java, or C++, as well as experience using version control systems like Git, is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative environments. These skills and qualities are essential because they enable interns to contribute meaningfully to projects, adapt to new technologies, and work efficiently within a development team.

What is the difference between Computer Science Internship vs Software Developer Intern?

AspectComputer Science InternshipSoftware Developer Intern
Required CredentialsTypically pursuing or recent graduate in CS or related fieldSame as CS internship, often students or recent grads
Work EnvironmentVaries across tech companies, research labs, startupsPrimarily software development teams in tech firms
Employer & Industry UsageUsed across academia, industry, research projectsPrimarily in software development companies and tech industry
Common Search & Comparison IntentUnderstanding internship opportunities in CSComparing software development internship roles

Both Computer Science Internships and Software Developer Internships target students or recent graduates interested in tech. While CS internships may include research, data analysis, or broader technical roles, Software Developer Internships focus specifically on coding and software creation. The choice depends on your career goals and the specific skills you want to develop.

What do you do as a computer science intern?

A computer science intern typically assists with software development, coding, testing, and debugging projects. They may work with programming languages like Python, Java, or C++, and often collaborate with teams to gain practical experience in software engineering and problem-solving. Internships usually involve learning industry tools and following project deadlines under supervision.

What internships should I apply for in computer science?

Computer science internships are available in tech companies, startups, and research labs, often focusing on software development, data analysis, or cybersecurity. Applicants should have programming skills in languages like Python, Java, or C++, and may need to demonstrate problem-solving abilities or relevant coursework. Internships can be paid or unpaid and typically require a resume and sometimes a cover letter or technical assessment.
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Computer Science Internship jobs near you
Infographic showing various Computer Science Internship job openings in Cheshire, CT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Assistant Professor in PET Center

AACTE Connect360

New Haven, CT • On-site

$68K - $83K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

The PET Center / Radiology Department at the Yale School of Medicine invites applications for tenure-track assistant professor positions in positron emission tomography (PET) imaging. Successful candidates will be expected to teach both undergraduate and graduate courses in related areas, develop a research program in collaboration with an interdisciplinary team of faculty and secure research funding.

Responsibilities may include the development, characterization and validation of novel imaging biomarkers with PET, pharmacokinetic modeling of novel radiopharmaceuticals, development of advanced image reconstruction algorithms for quantitative PET and PET/MR imaging and the development of deep learning methods to improve quantitative PET imaging.

Yale School of Medicine educates and nurtures creative leaders in medicine and science, promoting curiosity and critical inquiry in an inclusive environment enriched by diversity. We advance discovery and innovation fostered by partnerships across the university, our local community, and the world. We care for patients with compassion, and commit to improving the health of all people.

The Yale University PET Center located on Howard Avenue in New Haven, CT is a 22,000 sq. ft. facility established to advance the interests of Yale clinicians, scientists, and students in molecular imaging research.

The Yale University PET Center is comprised of a technologically advanced radiochemistry laboratory engaged in the development and use of a rich set of PET radiopharmaceuticals labeled with the most common PET isotopes (11C, 15O, 13N, and 18F); and an imaging and data analysis section that oversees scanning procedures and optimizes data acquisition and analysis. The Yale University PET Center collaborates with other School of Medicine departments to provide educational opportunities for doctoral and postdoctoral trainees.

Collaborations with industry partners serve to advance the use of molecular imaging in new medication discovery and the development of new PET radiopharmaceuticals. Current research interests focus on disorders of the central nervous system (CNS), oncology, cardiology, and diabetes. Successful candidates should have a Ph.D. or MD/PhD in biomedical engineering, physics, electrical and computer engineering, computer science, applied mathematics or related fields.

They should have experience and a track record of publications in two of the following areas: PET imaging physics, modeling of PET data and corresponding physical corrections. Tomographic image reconstruction including conventional reconstruction algorithms and penalized image reconstruction techniques.

Radiotracer development, acquisition of experimental data including arterial blood and plasma as well as radiometabolite analysis using HPLC techniques, pharmacokinetic modeling including blood-based and reference region-based models, and use of numerical solvers for model fitting. Deep learning tools and methods for image denoising, reconstruction, segmentation and classification. Experience with computer science and data science, image processing and analysis.

Proficiency with programming languages such as C/C , Python, MATLAB, R, Linux scripting (e.g. bash). Strong verbal and written communication skills demonstrated by publication track record and experience with grant writing. Mentoring skills for undergraduate and graduate students, interns and visitors. Besides the requirements listed above, additional desired qualifications include: Experience with MR imaging and MR image reconstruction and analysis.

Experience with brain imaging and knowledge of biomarkers in Alzheimer's and other neurodegenerative diseases. Familiarity with optimization theory and applications to inverse problems. Rank is dependent on the successful candidate's qualifications.

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