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positivamentela experiencia/conocimiento en algunas de las siguientes áreas: lenguajes de programación (Python, JavaScript), técnicas y herramientas software de análisis de datos, machine/deep learning (Pandas
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medical image analysis, preferably in cardiology or related healthcare domains. Solid programming skills (Python or similar) and use of deep learning libraries (PyTorch, TensorFlow). Strong interest in
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. -Programming: Python, Matlab, C++, and others. Specific Requirements Knowledge -Optical engineering and photonics. -Physical models of light propagation and radiometry. -Professional Experience -Experience in
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of merits The following merits will be assessed and scored: A. Knowledge of Matlab, Python, R and/or C++ (advanced level). These will be assessed based on accredited training hours (5 points for each course
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FUNDACIO INSTITUT D'INVESTIGACIO EN CIENCIES DE LA SALUT GERMANS TRIAS I PUJOL | Spain | about 1 month ago
multi-omics data (RNA-seq, ATAC-seq, proteomics). Familiarity with spatial transcriptomics platforms (e.g., Visium, Xenium). Skilled in R and Python programming. Proficient in Linux environments and HPC
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» OtherEducation LevelMaster Degree or equivalent Skills/Qualifications Dominio de Python y bibliotecas como PyTorch o TensorFlow. Conocimiento práctico en redes neuronales convolucionales (CNN), recurrentes (RNN
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or MSc (or near-completion) in Physics, Materials Science, Computer Science, Electrical/Computational Engineering, or related field. - Hands-on Python (data wrangling, scripting, automation); comfort with
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machine learning. Experience in the use of clinical databases(REDCap). Other merits (0-20 points): High oral and written proficiency in English. Solid knowledge of Abaqus, Fortran, Python and Matlab
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-resolved transcriptomics, or similar). Programming experience (e.g., R, Python, MATLAB) and familiarity with relevant bioinformatics pipelines. Interest in neuroscience, developmental biology, and evolution
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. Demonstrable experience of automating tasks via Python, bash or other scripting tools. Experience with containers and VMs (docker, portainer, openstack) or other similar solutions. Knowledge of Automation/DevOps