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Using its unique drug discovery pipeline comprised of Artificial Intelligence, virtual screening, molecular docking, high throughput multi-omics sequencing, and human derived induced pluripotent stem cell technologies (hiPSCs), Greenstone Biosciences aims to develop novel drug therapeutics to achieve precision medicine and precision health.
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Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance.
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ResponsibilitiesSupport applications of Artificial Intelligence (AI) in various research disciplines and serve as the domain expert. 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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Basic Qualifications:Bachelor’s Degree with 12+ years of academic / industry experienceOrMaster’s Degree with 10+ years of academic / industry experienceOrPhD with 8+ years of academic / industry experienceWith 4+ years of leadership experiencePreferred Qualifications:Ph. D. with 8+ years of relevant fields with a focus in Artificial Intelligence or Machine Learning development and applications to molecular design.
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We are looking for a Principal System Architect to help us build the next generation of silicon photonics based artificial intelligence accelerators and interconnect products. As a Principal System Architect, you will be responsible for defining system solutions for the data center using Lightmatter's innovative technology to create state of the art machine learning/artificial intelligence or massive scale-out interconnect platforms.
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We are seeking a skilled and detail-oriented Automation Data Analyst with expertise in UiPath and a preference for experience in Artificial Intelligence (AI) techniques. As the Automation Data Analyst, you will be responsible for leveraging data-driven insights to identify, analyze, and optimize UiPath automation opportunities, with an emphasis on integrating Artificial Intelligence for enhanced decision-making and efficiency.
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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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The Institute is seeking to hire a Senior Policy Advisor with a focus on artificial intelligence and its implications for workers, workplaces, and democracy. Advance the AFL-CIO Technology Institute’s policy agenda on artificial intelligence and technology, including worker rights frameworks for the use of artificial intelligence in the workplace, procurement policy, civil rights and racial justice protections, and funding requirements for government funded research on AI.
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They will also have familiarity with ISR data processing capabilities and maintain a contemporary grasp of Artificial Intelligence and Machine Learning tools that are utilized to support ISR data collection.
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DBMI has research and/or service programs in the following areas: Clinical informatics, clinical research informatics, biomedical data modeling and ontologies, biomedical natural language processing and information retrieval, medical artificial intelligence, privacy technology, global health informatics, equity in informatics, and translational bioinformatics.
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Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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Under the direction of the Principal Investigator, the Postdoctoral Fellow will conduct specialized cardiovascular research techniques and procedures with focus on artificial intelligence and machine learning platforms that will promote precision medicine and predict outcomes.
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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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artificial intelligence jobs Company: Antech Diagnostics in Gretna, Louisiana
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When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
How to Increase Job Ad Exposure
In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
How to Navigate Hiring Out of State
The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).
Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.
What is Career Cushioning?
Is your organization prepared for “career cushioning”?
How to Gracefully Quit a Job You Just Started
You’ve just started learning the ropes at your new job, and you've gotten to know your colleagues. But you’re already thinking about quitting. Maybe you were deciding between to job offers and realized that you’ve made the wrong choice. Or, a change in your personal circumstances means that you have to quit.