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M.S degree in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field. Ph. D. in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field.
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In this position the Data Scientist is responsible for developing, planning, and executing basic and applied research in bioinformatics as applied to biodiversity genomics and conservation biology, and provide bioinformatics and computational expertise and training to the Center for Conservation Genomics (CCG)/National Zoological Conservation Biology Institution (NZCBI) scientists.
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Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data. (ii) develop of machine learning and computational discovery methods for public health research.
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Doctoral degree and 7+ years of experience in a research discipline relevant to patient-centered outcomes research (e.g., clinical epidemiology, health services research, sociology, psychology, health policy, biostatistics, economics, bioinformatics, data science, education or health education.
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B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master's degree or equivalent graduate degree including certificate-based advanced training courses.
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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Master or Doctoral degree in public policy, health policy, health economics, biostatistics, epidemiology, public health, or related fields (training in an array of social science disciplines will be considered.
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An international leader in information science and data innovation, NLM supports and conducts research, development, and training in biomedical informatics, computational biology, data science, data standards, biomedical communications, and health information technology.
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PhD in computational chemistry, cheminformatics, data science, or a related field is highly preferred. The Therapeutics Discovery organization is continuing to build key scientific expertise in computational and medicinal chemistry, screening, and pharmacology to partner closely with our outstanding therapeutic area scientists to develop groundbreaking new medicines.
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MetaPhase supports the Chief Information Officer (CIO) and Chief Data Officer (CDO) at the National Science Foundation (NSF). This project supports the CIO/CDO through the implementation of data governance, data architecture & design, data quality initiatives, and community engagement programs through information sharing to harmonize the development of NSF’s data infrastructure.
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Research experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms. Use your data science, machine learning, and/or computer science skills to conduct research and contribute to solutions to technology and business problems.
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MLT, Medical Lab Technologist, Blood Bank, Microbiology, Lab Generalist, ASCP, Laboratory, Hospital Laboratory, Biology, Lab Technologist, Clinical Laboratory Scientist. The Medical Laboratory Technologist, under general supervision, will perform high and moderate complexity testing and oversee testing of medical laboratory technicians and specimen management by phlebotomists during their shift in order to provide data used in the diagnosis and therapeutic management of diseases.
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We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry’s business. The successful candidate will bring experience as a data scientist and machine learning leader working for a company where “AI” is considered core to the company's success.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of developmental roles in Cybersecurity Data Science, including Data Scientist, Artificial Intelligence (AI) Specialist, AI Operationalization Analyst, Data Modeler, Data Security Analyst and Operations Research Analyst.
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Position will serve as a Data Engineer and Scientist role and leads the design and development for real world data obtained from electronic health records (EHR) and integration with other data sources such as linkages (e.g. administrative claims data, national death index) into a data warehouse for longitudinal cohort studies.
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data science scientist computational linguistics jobs Title: science director in Bethesda, MD
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Virtual Reality Job Interviews
With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
A Potential TikTok Ban?!
As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
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.
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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).