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Computer Science, Financial Technology, Data Science, Artificial Intelligence, or a similar field. Experience with AI model development and deployment using Python and other relevant frameworks. An awareness of SaaS
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, Computer Engineering, or Computer Science 2. Successful professional experience programming in Python 3. Knowledge of data structures 4. Experience with Natural Language Processing (NLP) techniques such as
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experience programming in algorithm level languages such as Matlab/Simulink, Python or similar 2. Demonstrated, successful experience developing software to communicate and exchange information (e.g. commands
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Master’s degree (120 ECTS), with experience in Animal Breeding. Experience with data handling softwares (e.g., R, SAS, Python, Unix Shell) and genetic softwares (e.g., DMU, F90, AIREML). Background in
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for data acquisition and analysis (e.g., MATLAB, Python, Prism/GraphPad, EEG scoring software). Strong organizational, written, and oral communication skills. Ability to work independently and
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public datasets as well as samples generated through collaborations. Ideal candidates will have strong interests in microbiome-host biology, bioinformatics, or machine learning. Experience with R or Python
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Lawrence Berkeley National Laboratory has multiple openings for a Scientific Engineering Associate in Berkeley, CA. Duties: Perform scientific data analysis using the scientific python stack
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collaborative environment and perform administrative duties. Experience in computer science and related programming (python, R, etc.) a strong plus. Ability to organize a variety of data sources including subject
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taxonomy in AI-assisted workflows Prototype and test automated classification scripts (Python/R) Document data pipelines and QA/QC procedures Supervision & Training Mentor PhD-level and undergraduate RAs
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production-quality Python code to parse, validate, and transform sequence data from published research papers, public databases, and experimental outputs. This role requires both technical excellence in data