150 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at Forschungszentrum Jülich in Germany
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data organization and analysis of experimental results Your Profile: Currently enrolled as a BSc or MSc student in environmental science, agronomy, soil science, plant science, biology, or related
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Your Job: Join the consortium research project LILLINT II, financed by the U.S. Department of Energy (DOE) and the Federal Ministry for Research, Technology and Space (BMFTR), of American and German
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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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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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(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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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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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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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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program the memristors Operando characterizing the device electrically and morphologically using conductive atomic force microscopy (C-AFM) Access and active control of advanced experimental setups Your