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diverse research community Preferred: Master's or Ph.D. in STEM or related discipline Python programming skills Demonstrated familiarity with AI/ML libraries such as PyTorch, TensorFlow, or similar tools
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Responsibilities Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python
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programming languages such as Python or R and be willing learners of new software engineering skills. It is also beneficial to have familiarity with behavioral science and social science more generally
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: Preference will be given to candidates with knowledge of Python programming, web technology development, and data management in IoT environments, particularly those with experience in Kibana, Apache Kafka
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diverse operating systems; Skills in scientific programming (e.g. Python, MATLAB) and the application of advanced data visualization techniques; Very good command of Polish and English, both written and
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of Technology, the Netherlands. For a complete list of available positions, please visit the network’s website http://www.secresy4you.eu . Information We invite highly motivated students with a strong background
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, including an application to one of the Universit of Vienna doctoral schools (e.g., CoBeNe, https://vds-cobene.univie.ac.at/) within 12–18 months. As a University Assistant (Praedoc), you will become part of
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knowledge of and the ability to teach programming languages such as JavaScript, R, or Python. Duties will include research, research-led teaching and administration within the School of English and Digital
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to the field - programming/coding in Python (Pytorch) - presentation of results at conferences - interaction with team members and international collaborators Where to apply Website https://emploi.cnrs.fr
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technical field Strong programming skills in Python, with experience developing APIs, backend services, or automation workflow Demonstrable experience building AI-enabled applications that integrate large