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The Principal NLP Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
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Hands-on experience in multi-color flow cytometers and analysis software (e.g. FACSDiva or FlowJo) is highly desired. Hands-on experience in performing qPCR (or d(d)PCR), flow cytometry-based assays, and/or cell-based assays is required.
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Hands-on experience with vector databases, fuzzy logic, and advanced data processing, especially in the context of real-time systems. The ideal candidate will bring a strong foundation in Python programming within big data environments, with a particular focus on understanding and applying machine learning and knowledge processing.
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Undertake on-site field work such as wetland delineations, habitat surveys, and bird surveys, demonstrating a hands-on approach to environmental work and a personal commitment to data integrity.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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2 years hands-on professional experience with Big Data technologies (e.g. Spark, Hadoop, Kafka) and architectures. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with MLFlow and expertise in other MLOps technologies.
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Perform hands on testing with HPLC (Waters/Empower), GC, titrations, and other common chemical laboratory techniques. Coordinate and conduct complex chemical and physical tests on raw materials, finished products, and components according to established procedures in support of products/processes and continual improvement efforts.
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Hands on experience with cell culture and cell-based assays including confocal microscopy-based single molecule assays to characterize RNbased products. Hands on experience in mRNA synthesis, purification, characterization, and translational profiling.
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We are looking for a data scientist with proven hands-on skills to join the team and build high-performing, scalable applications that turn time-series telemetry into data products.
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Deep understanding and extensive hands-on experience with protein characterization by LC/MS using multiple mass spectrometry instruments and platforms. As a scientific leader, the candidate must be able to manage and lead projects independently, drive protein characterization strategies, improve quality and efficiency of workflows, develop new methods, stay current with industry and regulatory standards, representative on cross-functional teams, provide scientific guidance to team members, and train and oversee some day to day responsibilities of junior scientists.
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The ideal candidate will have previous hands-on experience in acquisition & analysis of structural data from X-ray crystallography, cryo-EM or other techniques. Hands-on experience and expertise in.
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Hands-on experience with AWS big data tools like Athena, Glue, and DynamoDB? Data | Scientist | AI | AWS | Glue | Data Lakes | Redshift | Cloud | Athena | Glue. An established US-based client of ours is seeking to expand their growing IT & Analytics team by adding a Lead Data Scientist.
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Are you a Junior Data Scientist with experience with GCP looking to work for an exciting start-up company who offer excellent hands on training and structured progression? Junior Data Scientist (Google Cloud Platform.
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3+ years of hands-on experience in data science, focusing on the design and construction of data science models and the development of their deployment pipelines. LightFeather is currently seeking a talented Data Scientist Lead to join our dynamic team.
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Understanding and hands-on experience in one or more of the following areas with biological molecules are required: ELISA, gel electrophoresis, chromatography (LC-based), spectroscopy (UV/Vis), binding affinity (SPR, Flow cytometry, Octet, etc.
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