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Field
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biomedical datasets. • Knowledge of statistical analysis and data visualization. • Proficiency in at least one programming language (preferably R and/or Python) and bash scripting. • Solid level of
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Master Degree or equivalent Skills/Qualifications Essential Qualifications: Strong quantitative and data-analysis skills. Proficiency in at least one relevant statistical programming language, such as
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Fundación para la gestión de la investigación Biomédica de Cádiz | Cadiz, Andalucia | Spain | 8 days ago
, Bioinformatics, Data Science, Artificial Intelligence or Biomedical Research. IT and computational skills: Knowledge of and experience with programming languages and scientific computing tools, such as
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analysis. Professional Experience : PhD in Materials Science, Physics, Chemistry or similar . Personal Competences : Python programming, STEM advanced hands-on, plus advanced data analysis skills (EELS
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Bellvitge Biomedical Research Institute | Hospitalet De Llobregat, L', Cataluna | Spain | 23 days ago
, western blot, etc. Programming expertise in R and/or Python Comfort working in Linux environments A genuine interest in neurodegeneration, gene regulation, and single-cell genomics Specific
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Siesta and LS-Quant. Create tools to handle large files trnasfers in the backend. Requirements: Education: Bachelor in physics or electrical/ mechanical engineering Knowledge : General programming
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work on an interdisciplinary project; Programming skills in Python, Matlab or LabView Specific Requirements The ideal candidate should possess proficiency in these areas (but it is not required): A
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research about the neural basis of human cognition. The selected PhD student will receive theoretical and practical training in Cognitive Neuroscience, including experimental task design, programming
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Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Terrassa, Cataluna | Spain | 16 days ago
Level Bachelor Degree or equivalent Research Field Environmental science Education Level Bachelor Degree or equivalent Skills/Qualifications Technical Skills: Data analysis. Scientific programming
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, processing and analysis of complex scientific data. Experience in scientific programming using Python, C/C++, ROOT or equivalen tools. Experience in Linux environments and scientific computing