163 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at Forschungszentrum Jülich
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about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering, computer science
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graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Further development of your personal strengths, e.g., via a comprehensive
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(at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ) Bonus: background in agriculture, environmental or geosciences, and some understanding of soil/plant systems Our Offer
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Profile: Master`s degree with PhD in physics, chemistry, materials science, chemical engineering, or a related discipline Fundamental knowledge of scanning probe microscopy, especially scanning
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Profile: You are currently enrolled in a Master’s program in engineering, energy systems, industrial engineering, or a related field. You are also characterized by: Strong interest in electricity markets
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computational engineering, mathematics, computer science, physics, engineering or a related field Strong background in numerical methods and machine learning Proficiency in at least one programming language
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, interpretation, and scientific classification of the results Your Profile: Currently pursuing a degree in a relevant field such as energy engineering, mechanical engineering, computer science, industrial
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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the application which project you are specifically interested in. Further details on the projects can be found here: https://www.fz-juelich.de/en/jcns/careers/fellowships/tasso-springer-fellowship-program Your
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conferences Your Profile: You have an excellent Master’s degree in a relevant discipline such as computer science, mathematics, engineering, or the natural sciences, preferably with a completed PhD or an