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The Real-World Science Department is anchored within the AI and Analytics area, which is part of Novo Nordisk Data Science. In Real-World Science we provide insights and evidence based on advanced analysis of Real World Data (RWD) to support decision making and evidence generation throughout product development in Novo Nordisk.
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Apply a variety of spatial data science techniques to tackle customer challenges to include geospatial statistics, spatial optimization, spatial pattern analysis, geospatial artificial intelligence, spatial autocorrelation, activity-based intelligence, imagery analysis, remote sensing, and geospatial data visualization approaches.
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Work closely with scientists within the in-vivo pharmacology group to verify in-vivo and Pharmacodynamic (qPCR) data. " Work closely with scientists within the ADME group to verify bioanalytical data generated using HPLC-FD and LC-MS/MS.
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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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Conduct Quality Control (QC) review of Bioanalytical data (LC-MS/MS, ELISA, qPCR, etc.) A Document Quality Control Specialist position (fully remote) is now available through Adecco Medical and Science.
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Desired fields include acoustic sensing, acoustic communications, unmanned underwater vehicles, maritime autonomy, oceanography, and climate science to support missions ranging from maritime defense to sustainable development of the Blue Economy.
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Remote Data Modeling needs 3 years of relevant UAS, GIS, modeling, application design, or other quantitative industry experience. Experience transferring data from 3D modeling software or comparable relevant projects required.
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Experience with data modeling, machine learning algorithms, optimization, and data science techniques e.g. decision trees, SVM, neural networks, time series, forecasting, classification, regression, clustering, cross-validation, and model evaluation.
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These component technologies are used in synergy with quantum information science demonstrations, as well as in standalone applications that include beyond-CMOS circuit technologies, energy-starved sensors, compact optical communication and laser radar transceivers, and microwave photonic signal processing.
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8+ years experience working with machine learning models and deploying them into productionDegree in Computer Science, Electrical Engineering, Data Science, or other related computational fieldsExperience with NLP, computer vision, or deep learning frameworks such as Tensorflow, PyTorch, or HuggingFace, etc.
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Experience with Unix/Linux, HPC environments, and high-level commonly used data science programming languages (e.g. R, Python). This role demands a dynamic individual with a passion for pushing the boundaries of data sciences in the realm of healthcare, contributing to the evolution of innovative solutions in the field.
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A master's degree in engineering, physics, applied mathematics, or a physical science with six months or more experience in modeling low frequency electromagnetic applications based on numerical methods, such as the finite element method or similar.
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Building and maintaining data pipelines for the development, implementation, execution, validation, monitoring, and improvement of data science solutions. Description: Job/Position People Analytics Data Engineer & Enablement Hybrid, 5 days 1 month, the rest as per needed Location: Lexington, MA or virtual OBJECTIVES/PURPOSE (3-4 bullets) Reporting to the People Analytics BI & Innovation Lead, and as a key member of the Global HR People Analytics team, this individual will be responsible for enabling the democratization of data within the people analytics team.
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Degree in Arboriculture, Forestry, Horticulture, Plant Science, Landscape Management, Environmental Science or a related field OR prior experience working in the tree care industry if preferred but not required.
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Candidates must have a strong technical background with experience in one or more of the following: acoustic, radar, and/or sonar signal processing, algorithm development, detection and estimation theory, wave propagation, numerical methods, experimental data analysis, prototype development, and/or communication theory.
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data science jobs Title: data lead Company: Joveo Us in Bedford, MA
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