45 parallel-programming-"Computer-Vision-Center" Postdoctoral positions in Netherlands
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passion for new subjects and research areas; Proficiency in computer programming and data analysis. You should also have good interpersonal and communication skills and should be able to work in a
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with programming languages, e.g., MATLAB/Simulink, Python, c++, etc. Strong ability to present results effectively and prepare scientific papers for publication in international journals and conferences
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Max Planck Institute for Psycholinguistics | Nijmegen, Provincie Gelderland | Netherlands | about 1 month ago
background, with experience in one or more programming languages (e.g. R, Python, Perl, or shell scripting) Desirable experience includes : Structural equation modelling (e.g. lavaan) Meta-analysis methods
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! Research fields Communication sciences; Computer science Job types Postdoc Education level Doctorate Weekly hours 32—40 hours per week Salary indication €3706—€5760 per month Location Princetonplein 5
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accelerate the future of Earth Observation via transformative innovation and commercialisation actions strengthening ESA Member States’ world-leading competitiveness. Our vision is to be the “EO
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intelligence, computational biology, bioinformatics, computer science or a closely related field; • strong hands-on experience with deep learning and modern representation learning, preferably including
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partners at Princess Maxima Center) using AI/ML techniques, implement antigen data analysis and discovery processes, and contribute to the maintenance of data infrastructure in collaboration with
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degree in econometrics, mathematics, computer or biomedical sciences, artificial intelligence, operations research, data science, or a related field; solid programming skills in Python or a comparable
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profile A PhD in physics, environmental science or remote sensing, or a related field. Good programming skills (e.g., Python). Familiarity with satellite data or other large numeric data files. Knowledge
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Vision, the National Archive, and the National Library of the Netherlands. The research will take place in collaboration with the HAICu fieldlab ‘Deep Journalism’, which develops functionality for