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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Ideal candidates have a strong publication record in areas including artificial intelligence data mining, machine learning, natural language processing, and/or fields such as cognitive science, learning analytics, and psychometrics.
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Experience in machine learning or artificial intelligence work is critical, with cheminformatics, computational chemistry, and/or molecular modeling experience a plus.
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Your mission is to harness data and apply advanced technologies such as machine learning, computer vision, generative AI, predictive analytics, and data visualization.
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The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years working in IT with a thorough understanding of SDLC and Agile development methodology 5+ years of experience in Business Intelligence and Data Science (data mining, Machine Learning, PLS, PCA), Data architect, data engineering and Big Data 3+ years of experience as BI reporting and visualization engineer, Business Objects and Tableau Administration Proficient with one or more programming languages (SQL, Java, C.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Difference between Machine learning, Artificial Intelligence and Deep learning.
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The qualified candidate for this position will lead TSL Developmental Test & Evaluation (DT&E) projects, Internal Research and Development (IRaD) projects, and other company divisions with machine learning and artificial intelligence expertise.
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Develop, maintain, and support data analysis, AI and Machine Learning pipelines. The Research Computing Center (RCC) seeks to hire an experienced Computational Scientist – Scientific–AI and Machine Learning to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on projects in a wide range of research domains.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Model validation experience related to Artificial Intelligence and machine learning. Experience building and testing challenger models using supervised and/or unsupervised machine learning or other data science modeling techniques.
$87,800 - $195,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bridge between experimental and groundbreaking digital technologies, expertise in machine learning and artificial intelligence (AI) as applied to drug discovery.
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In this role, you will oversee teams designing and building data solutions that capture, explore, transform and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientific leader interested in artificial intelligence and machine learning for molecular design.
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5 Common Interview Mistakes
Everyone's interview process is unique in some form or fashion. Like most, your interview process is crafted so you can get the most information out of your candidates to increase hiring confidence and make the right hiring decisions. However, there are often small problems in interview processes that could ultimately affect the success of hiring decisions.
Structured vs Unstructured Interviews
The goal of an interview is to evaluate candidates based on their skills, personality, and knowledge. You want to choose the BEST candidate from your candidate pool, so the interview is something you can't mess up. As you begin planning your interview process, one of the major decisions you'll face is whether the interview should be a structured vs unstructured interview. So let's take a dive into the differences and sort out which circumstances warrant which interview process.
How to Describe Your Personality with Examples
Imagine you’re in an elevator with the CEO of your dream company and you get to talking. The conversation is going well and you start to imagine yourself working for their company when the CEO turns around and asks you “tell me a bit about yourself.” Would this catch you off guard or would you be able to give a clear and succinct description of who you are?
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Most times, we have to do more than submit a "sugar-coated" resume to land our dream jobs. Going the extra mile to follow up on your job application can increase your chances of employment. Additionally, it may even help you get confirmation sooner on whether you are seriously being considered for the job or not.
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It’s easy to get caught up in focusing on your resume – how it looks, what it says, and whether it’s going to land you a job interview. Because there is a big focus on building the perfect resume, job searchers often overlook the importance of a high-quality cover letter. Your cover letter plays a huge role in your first impression. It humanizes you and provides context for your resume.
How to Call Out of Work
No matter how happy we are with our jobs, there are days when we feel overwhelmed and want to call out of work. No, don't feel guilty. It's expected because we're humans, and we can't control the uncertainties of life. But the problem lies in how to call out of work without seeming uncommitted to work, especially if you seldom get work-free days.