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Field
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for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect mapping in complex disease. Strong method/tool dev experience required (Python/R, ML/stats
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with omics data analysis, biostatistics, and image analysis tools. Strong programming skills (R, Python) and knowledge of relevant databases and pipelines. Candidates with peer-reviewed publications
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with healthcare data (e.g., EHR, clinical text, imaging, omics). Proficiency in Python and ML tooling (e.g., PyTorch, scikit-learn), version control (Git), and experiment tracking (e.g., Weights & Biases
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Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with running snowpack and/or numerical climate models on for example High
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). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including implementation of reconstruction algorithms and image processing pipelines. Experience with
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of Bioinformatics, databases and data modelling, Artificial Intelligence and/ or natural language processing; Previous experience in the development of software, preferably in the Python language. Workplan and
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integration, database systems, or data quality. 2. Skills: Proficiency in Python (data processing, APIs) and good engineering practices (Git, testing, documentation). Experience with at least one: vector search
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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 2 months ago
of the application period will be admitted. Programming skills (Python, C++), experience in extensive air shower tools, in particular CORSIKA, and knowledge of analysis tools, such as ROOT. Preference will be given
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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 2 months ago
skills (Python, C++), experience in extensive air shower tools, in particular CORSIKA, and knowledge of analysis tools, such as ROOT. Preference will be given to candidates with a strong background on
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, math, statistics, and/or computer science Experience with programming, data science, and geospatial analysis (especially R, Stata, Julia, MATLAB, or Python) An enthusiasm for empirical research and an