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. from neuro- or plant sciences Advance our understanding of the underlying theory, as well as applicability to scientific applications, where explainability, interpretability, and reliability are as
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program in engineering, computer science, data science or a related field of study High interest in data processing and analysis and producing interesting plots using Python Very good Python (or other
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and efficiency Your Profile: Very good academic record and currently enrolled in a Master’s program in engineering (energy technology, mechanical engineering, industrial engineering) or a related field
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possible selection criteria Research on aggregation methods for raw material requirements at technology and system level Familiarization with the national energy system model ETHOS.NESTOR and, if necessary
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performance Your Profile: Current master studies in biomedical engineering, physics, computer science, mathematics, electrical/electronic engineering or in a related field Strong programming skills (Python
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Master studies in chemistry, chemical engineering, material science, or a comparable field of study Interest in the research field of battery development Previous experience in electrochemistry is an
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research community at meetings and conferences Contributing to the preparation of project report Your Profile: A university degree (PhD or Master) in Computer Science, Research Software Engineering, (Quantum
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are desirable but not essential You are a bachelor or master student in physics, materials science, or comparable. Able to use creative, analytical, and hands-on skills for problem solving. You are a curios
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of the FAU, Erlangen-Nürnberg) including many cooperation opportunities with our partners from science (Forschungszentrum Jülich, Helmholtz Society Berlin, Friedrich-Alexander-Universität Erlangen-Nürnberg and
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in engineering, energy technology, environmental sciences, renewable energies, biosciences and geosciences, agricultural sciences or a related field of study You have good written and spoken English