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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 2 months ago
The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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changer for the energy transition — or it could create new challenges. The extent to which it will influence future production systems, material flows, and energy systems is not yet fully understood
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environment of the university and its seven faculties. Applicants are encouraged to learn about the University of Bayreuth’s Research Networks . Experience Bayreuth – Collaboration with Local Host We invite
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to society and politics. Successful applicants will become Grantees at the Centre and profit from the lively research environment of the university and its seven faculties. Applicants are encouraged to learn
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physics departments: this is a full doctoral position, and the remaining time is your own thesis work. It is not a part-time job requiring additional income. The working language of the group is English; no
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the application of 3D electron diffraction to the measurement of magnetic and structural properties of the classical antiferromagnetic material NiO studied below and above its Néel temperature. The goal is to
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payment according to TV-L E13 Application We look forward to receiving your application. It should include a curriculum vitae, relevant certificates and transcripts, and a brief statement describing your
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download) The position is for a fixed term of 3+1 years Our International Advisory Service makes it easier for international employees to get started We welcome applications from people with diverse
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the distribution of Li within the anode as a function of process parameters and anode design. However, due to its low atomic number, Li cannot be detected with spatial resolution in electrodes using conventional
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mesoscopic properties of active units within a collective to its macroscopic behavior based on simulation data. Another possibility is to equip active units with learning capabilities or adaptive interactions