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scheduling rooms, compiling information packets, creating spreadsheets, charts, and graphs, and other projects. Knowledge Office procedures and practices. Customer service techniques. Basic bookkeeping
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in the preparation of reports, charts, graphs, and tables; and other related activities. This work is accomplished in accordance with applicable procedures, rules, regulations, and laws. Office
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) Collect and analyzes data Prepare graphs and figures for publications Conduct literature searches and summarizes information to help plan future studies Participate in lab meetings Perform other job related
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field data, organising datasets, performing statistical analyses, creating scientific graphs and contributing to scientific writing. PI: Andrea Antón Gamazo Funding body: 7324 Institution: Universitat de
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computing (HPC), distributed compute, or accelerated environments (GPUs, multi-node systems). Solid background in database systems, including: Relational databases (e.g., PostgreSQL / SQL) Graph databases
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, represented as a set of raw sequences, graphs, or sequence alignments. In this project, we will conduct a comparative study of noncoding genomic regions. You should have expertise in algorithm design and high
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, and EHR data. Experience with modern deep learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, and SciPy. Familiarity with convolutional neural networks (CNNs), graph
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; Specialized in NLP, text mining, and graph analytics, including the use of NLTK, spaCy, TextBlob, VADER, and transformer-based models (e.g., BERT, GPT); Familiar with social network analysis (SNA) using
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experienced in managing research projects with tools like Git/GitHub, ClickUp, and Jupyter Notebooks; Specialized in NLP, text mining, and graph analytics, including the use of NLTK, spaCy, TextBlob, VADER, and
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, and Jupyter Notebooks; Advanced in NLP, text mining, and graph analytics, including the use of NLTK, spaCy, TextBlob, VADER, and transformer-based models (e.g., BERT, GPT); Familiar with social network