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- UNIVERSIDAD POLITECNICA DE MADRID
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highly motivated candidate with: Expertise in cell culture models Experience in molecular biology techniques such as qPCR, western blot, etc. Programming expertise in R and/or Python Comfort working in
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) Item 03: Proven experience in both programming (Python, R, etc.) and the use of data analysis tools, as well as artificial intelligence / machine learning techniques (punctuation: 22.5) Item 04
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and automation of simulation workflows and data post-processing (e.g., Python, MATLAB, or equivalent). The following additional merits may also be considered: knowledge in Paraview, GNU/Linux, and
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Skills/Qualifications Technical Skills: Advanced programming in Python, PyTorch, PyTorch Geometric or DGL. Version control (git), Linux and model training on GPU (reproducible experiments). Other
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characterization of materials’ magnetic, electronic and structural properties. Experience in spectroscopy and microscopy is valuable Knowledge in programming (Python) and 3D modelling will be valuable Availability
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Requirements Experience with laboratory work, environmental monitoring and/or data analysis will be considered an advantage. Programming and data-analysis skills (e.g., Wavemtrics, R, Python or similar
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | 6 days ago
: Experience with molecular biology techniques. International Experience: Experience studying or working in an international environment. Data Analysis: Basic knowledge of R or Python. Research group
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, parabolic equations, ray-tracing. Skills: excellent computational skills: Python, Fortran, HPC. Language skills: Fluent in English, Spanish is not required but advantageous. Specific Requirements We
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University of Girona (UdG) - Institute of Computational Chemistry and Catalysis (IQCC) | Spain | 3 months ago
, preferably in Python. Additional skills and experience considered positively:Experience in quantum mechanical calculations (e.g. DFT) Experience in molecular dynamics simulations Familiarity with Linux/Unix
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parte de los créditos correspondientes), así como la experiencia demostrable en algunas de las siguientes áreas: Sistemas U-Space, lenguajes de programación (TypeScript,JavaScript,Python), y simulación