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: Masters degree in electrical/electronic engineering, computer engineering, computer science, physics, or related fields Experience with emerging memory devices A strong electronics background, including
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Design, set up, and operate experimental systems for circuit-level measurements and data analysis Your Profile: Masters degree in electrical/electronic engineering, computer engineering, computer science
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Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional
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requirements are for the ideal candidate: Master’s degree in meteorology, physics, environmental science or similar Knowledge of atmospheric dynamics and chemistry would be an advantage Good experimental skills
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: PHD Thesis Job description: Your Job: Digital methods for inverse materials design are essential
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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. Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, computational neuroscience, or a related field Excellent quantitative and analytical skills
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publications and project reports Supervision of Bachelor and Master students Support in establishing the institute Your Profile: Master`s degree in physics, chemistry, materials science, chemical engineering, or
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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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testing process Your Profile: Excellent masters degree in physics, electrical engineering, mechatronics, process engineering or a similar field Strong interest in pursuing research on electrochemical