123 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" research jobs in Finland
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pension fund, a generous holiday package, sports facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). Required qualifications PhD (or near completion
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quality research and participate in transdisciplinary research Proficiency with computer programming languages (Python, R or related language) The selected appointee must enroll as a PhD student at the
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this link to read about accessibility and inclusivity at our University. JOIN US TO BUILD A BETTER WORLD – TOGETHER! #HelsinkiUniCareers Where to apply Website https://www.timeshighereducation.com/unijobs
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Finland. More information here: https://www.helsinki.fi/en/about-us/careers/welcome-finland-information-arriving-staff How to apply The application must be submitted by 22 January. A round of interviews
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research group for their doctoral research. The program provides an exciting opportunity to explore and combine different research areas as well as to learn a variety of scientific skills and technologies
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and/or millimeter-wave measurements. Knowledge of using AI/ML tools and approaches to analyze data. Knowledge of computer vision and sensor fusion techniques. Any understanding or interest in radio wave
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the Neuroscience Center in the University of Helsinki (see: https://www2.helsinki.fi/en/researchgroups/synaptic-plasticity-and-development ).The research interests are focused on functional maturation of neuronal
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design and analyse separation processes, develop data-driven or AI-assisted tools, or generate high-quality experimental data that supports method development, modelling, and machine learning. You will
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(PyTorch, Tensorflow etc.) Knowledge of multi-agent systems and autonomous agent modelling Expertise in Machine Learning and Artificial Intelligence We consider the following as an advantage: Willingness
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more than five years ago at the time of accepting the position (a net period of time, which does not include parental leave, military service etc.) good skills in spoken and written English prior experience