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materials science, physics, chemistry, electrical engineering (or a similar discipline) with focus on sensorics; experience in data processing and machine learning; experience in 2D materials synthesis and
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, Management Science, Business Analytics, or a related field. Strong analytical skills with experience in AI, machine learning, or data analytics. Very good English skills in writing and communication
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related field of study • Interest in energy technology and energy economics • Experience in energy system modelling is an advantage • Basic programming skills, ideally in Python • Independent and analytical
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to work in. Research groups: Computational Neurosciences Computer Graphics and Ecological Informatics Computer Networks Computer Security Databases and Information Systems Data Fusion Data Science
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analytical procedures and data processing methods to determine key performance indicators Evaluate your results formulate conclusions and present them at national and international conferences and in
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of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification
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knowledge of English (written and oral), basic knowledge of German Strong analytical thinking, ability to work in a team, good self-organization and sense of responsibility What we offer Goal-oriented
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of Giessen/Hohenheim, students process their fieldwork data and present it to peers in a doctoral seminar. This is followed by the application of the chosen analytical tools to provide answers
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Your Job: develop numerical and analytical techniques to simulate and control the time dynamics of quantum technology devices implement and optimize gate operations and artificial Hamiltonians
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, analytical chemistry, plant physiology, genetics, ecology, evolutionary biology, bioinformatics, and mathematics and computer science. All our projects are highly integrative and require willingness to closely