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Associate Pattern Recognition Jobs in Indiana (NOW HIRING)

Pwc

AI Engineer

Indianapolis, IN · On-site

$50K - $112K/yr

As an Associate, you will focus on learning and contributing to projects while developing your ... pattern recognition - Implementing AI solutions using open-source software - Applying natural ...

Trimedx

Sr Software Engineer

Indianapolis, IN · On-site

$117K - $154K/yr

Every associate matters and makes a difference It is truly a culture like no other - We hope you ... Sees patterns and uses conceptual thinking to solves problems. * Makes proactive decisions that ...

TRIMEDX Holdings

Sr Software Engineer

Indianapolis, IN · On-site

$117K - $154K/yr

Every associate matters and makes a difference It is truly a culture like no other - We hope you ... Sees patterns and uses conceptual thinking to solves problems. * Makes proactive decisions that ...

TS Tech

Weld Inspector

New Castle, IN · On-site

Support offline process auditing & evaluations (product and associates), production scheduling ... Hearing Perception-Ability to recognize information at normal spoken levels and/or ability to ...

TS TECH Americas, Inc

Weld Inspector

IN · On-site

Support offline process auditing & evaluations (product and associates), production scheduling ... Hearing Perception-Ability to recognize information at normal spoken levels and/or ability to ...

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Associate Pattern Recognition information

What are some typical projects an associate pattern recognition might work on, and how do they collaborate with other team members?

As an Associate Pattern Recognition professional, you may work on projects such as developing algorithms to identify trends in large datasets, improving image or speech recognition systems, or supporting data-driven decision-making in areas like healthcare or finance. You will often collaborate closely with data scientists, software engineers, and domain experts to understand project goals, refine models, and implement solutions. Regular team meetings and code reviews are common, providing opportunities to learn from senior colleagues and contribute your insights.

What is an associate pattern recognition?

Associate Pattern Recognition professionals are entry-level specialists who support the development and implementation of algorithms and systems that identify patterns in data. They typically assist senior analysts or engineers in analyzing datasets, using tools such as machine learning or statistical software to recognize trends, anomalies, or recurring patterns. Their work is applied in a variety of industries, including technology, healthcare, finance, and manufacturing, to improve decision-making and automate processes. They often collaborate with data scientists and engineers to refine models and enhance the accuracy of pattern recognition systems.

What are the key skills and qualifications needed to thrive as an associate pattern recognition?

To thrive as an Associate Pattern Recognition Specialist, you need a solid background in mathematics, statistics, and computer science, often supported by a relevant degree. Familiarity with programming languages such as Python or R, as well as experience using machine learning frameworks like TensorFlow or scikit-learn, is typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and collaborating with team members. These skills and qualifications are essential for accurately identifying meaningful patterns in data, driving actionable insights, and supporting data-driven decision-making in various industries.

Is pattern recognition a good skill to have?

For an Associate Pattern Recognition role, having strong pattern recognition skills is essential, as it enables the identification of meaningful data trends and anomalies. This skill is often complemented by knowledge of machine learning algorithms and data analysis tools, making it valuable in fields like data science and artificial intelligence. Developing this skill can improve problem-solving efficiency and support decision-making processes in technical environments.
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Associate Pattern Recognition jobs near you

Post Doc Research Associate

Purdue University

West Lafayette, IN • On-site

Full-time

Re-posted 27 days ago

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

309th of 616 rated colleges and universities

Job description

Post Doc Research Associate
City: West Lafayette
Job Description:
Job Summary
Postdoctoral Research Associate - Data-Driven Physics, ML/AI, and Advanced Detector R&D
The High Energy Physics Group at Purdue University invites applications for a Postdoctoral Research Associate to join an interdisciplinary research program at the intersection of data-intensive physics with nuclear/particle aspects, advanced detector R&D, machine learning and AI and emerging computational methods in quantum computing.
The position is intended for an excellent and broadly interested postdoctoral researcher with strong computational and data-analysis expertise who is interested in applied problems across experimental physics. The successful candidate contributes to applied nuclear and particle physics research leveraging machine learning and AI for data analysis and detector development, as well as exploratory work in quantum algorithms, depending on background and interests.
Core responsibilities and research directions include:
  • Applied nuclear physics and spectroscopy, focusing on the analysis of data from photon spectrometer detectors recording nuclear collisions. A central component of this work is the development and application of machine-learning and AI techniques to identify weak, rare, or previously unknown nuclear transitions in complex spectral data.
  • Advanced computational and data-science methods, including modern ML/AI workflows for pattern recognition, clustering, anomaly detection, and inference in large and noisy datasets. Exploratory work in quantum algorithms and quantum annealing for physics-driven optimization problems is also part of the research portfolio.
  • Detector R&D for future facilities, leveraging Purdue's infrastructure for detector development. The group operates a center of excellence for composite manufacturing and simulation for detector mechanics and cooling, as well as in-house facilities for the design, development, and construction of silicon detectors.

There is an optional opportunity to contribute a limited fraction of effort to research within the CMS experiment at CERN, particularly were expertise in ML/AI, data analysis, or detector-related topics can synergize with ongoing efforts.
The postdoctoral researcher will work in a collaborative environment, mentor graduate and undergraduate students as appropriate, and contribute to publications and future research proposals.
Qualifications
Ph.D. in experimental particle physics, nuclear physics, astrophysics, engineering, computer science, or a closely related field (by start date)
Strong background in data analysis, computing, and scientific programming
Demonstrated ability to conduct independent research
Experience with machine learning / AI is highly desirable
Prior exposure to nuclear physics data, detector systems, or scientific instrumentation is an advantage but not required
Interest in interdisciplinary research spanning physics, computation, and advanced instrumentation
Appointment & Environment
Initial appointment for one year, renewable subject to performance and funding
Competitive salary and full benefits
Access to extensive computational, laboratory, and detector-development resources
A collaborative research environment with strong ties to national laboratories, international experiments, and interdisciplinary AI initiatives at Purdue
Application Process
The position is available starting immediately and applications will be considered until the position is filled. The appointment is initially for one year and renewable annually, subject to mutual satisfaction. The position will be based in West Lafayette, IN, although travel to other locations is expected for a number of short trips per year and/or extended periods of time.
Applications should include a curriculum vitae, a list of publications, a description of research interests (2 pages), and three letters of recommendation. Complete applications will be considered immediately. Please apply to link: https://careers.purdue.edu/job/Post-Doc-Research-Associate/35390-en_US/.
For information about the position, please contact Prof. Andreas Jung (anjung@purdue.edu ).

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