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Field
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assays, immune‑cell trafficking, and spatially resolved tumor–immune crosstalk. Lead image and data analysis, including programming in Python and experience with ImageJ/Fiji, to process microscopy data and
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degree qualification: Graduate in Geology or equivalent Specific Requirements Professional with proven ability to handle geological data processing software (Stereo32, QGis) and Python programming, as
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science/AI, bioinformatics, or related fields. Strong research capability, interdisciplinary communication skills, and proficiency in scientific English are required. Experience in AI/ML, programming (Python/R
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related fields. Quantitative/data analysis skills (Python, MATLAB, or similar). Hands-on experience in single-molecule techniques. Driven, organized, and team-oriented with a solid publication record
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, monitoring, data acquisition and processing in MATLAB and cross-platform Python (Windows and Linux) and experience in integration of systems for synchronised acquisition and aggregation of data sources
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optical modulators. FPGA support to the team. Sofware support to the team (Python, C++) Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208 Requirements Research FieldEngineering
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analysis algorithms using Python and databases. 3) Prototyping and experimental testing: implementation of prototypes of electronic light sensor devices and conducting experimental tests of the indoor
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Mathematics, or similar) Experience in energy modeling, optimization, or advanced algorithms Programming skills (Python, Matlab, or similar) Spanish and English required What We Offer High-impact national
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 1 day ago
candidate must have a solid background in computer science as applied to scientific research. Knowledge of scientific programming, particularly in Python and/or MATLAB, is highly valued, as is experience with
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. Fluency in English (C1 level or higher). Hands-on experience with Python and AI/ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace). Solid foundation in machine learning, deep learning, and neural network