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travel to present at scientific conferences and strengthen inter-lab cooperations Your Profile: University degree (Master) in computer science, physics or a comparable scientific field PhD in one
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, Computational Science, or a related field; a PhD or equivalent experience is preferred Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch or TensorFlow
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-08187-1 Your Profile: Master and PhD in biology, genomics or bioinformatics Strong background in data science or machine learning (deep learning, statistical modeling, or large-scale data analysis a plus
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presentation at conferences Your Profile: Passionate and curiosity-driven candidates with an Master`s degree in Physics, Nanoscience, Chemistry, or related fields, with a strong background in solid state physics
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engineering Willingness to work in laboratory and cleanroom environments Ideally, initial experience in a technical or scientific environment (e.g. cleanroom, laboratory) Knowledge of solid state physics and/or
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produced each year and thus the production of the cells must be scaled up considerably. As part of a cross-technology German research project between an industrial partner, a Fraunhofer Institute and
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large, antiferromagnetically-induced anomalous Hall effect is a potentially valuable discovery for memory applications. In this PhD project, we would like to explore new topological quantum materials
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chemistry, physics, materials science, or a related discipline Experience in practical lab work Theoretical knowledge of electrochemistry and electrochemical techniques is advantageous Strong analytical
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You will present scientific results at project meetings and international conferences and publish them in high-ranking scientific journals Your Profile: Master and PhD in biology, genomics
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valuable discovery for memory applications. In this PhD project, we would like to explore new topological quantum materials using neutron scattering techniques combined with in-house characterizations. Since