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Field
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with data analysis (R or Python); - Scientific English proficiency; - Valid driver’s license; - Availability to live in Piracicaba, São Paulo state, Brazil. Applications: register at https://forms.gle
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | about 1 month ago
Python, C/C++. • Possible co-supervision of Master’s and/or PhD’s students (on a similar topic). Where to apply E-mail Florent.Autrusseau@univ-nantes.fr Requirements Research FieldComputer scienceEducation
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Python for analysing spatial data, particularly in the context of remote sensing, ensuring robust data processing and interpretation strong ability to communicate effectively in both oral and written forms
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, and similar equipment. Proficiency in Python programming including ability to install and use spiking neural network simulators such as SNNTorch, NEST, Nengo, etc. Experience with semiconductor memory
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, and programming experience in a UNIX/Linux environment using programming languages such as Python, R, and/or Perl is required. Experience in analysis of genomis /trancriptomic /epigenomic data including
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related to research, teaching, and departmental operations Requirements: • A completed doctoral degree in chemistry, bio technology or a related field. • Strong programming skills in Python, R
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Engineering. Solid knowledge of AI/ML, embedded systems, and IoT architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development
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, instrumentation, and performance measurement. Experience in processing environmental data (Python, R, MATLAB). Interest in integrated approaches (energy–environment–biodiversity). Skills in UAV data analysis
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-solving abilities. Strong written and oral communication skills in both English and French. Additional Skills (Preferred): Experience with environmental data analysis (R, Python, multivariate statistics
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or equivalent Skills/Qualifications - PhD in bioinformatics or related subjects - Expertise in python coding - Experience and good understanding of neural networks and machine learning - Fluent written and spoken