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publish results at national and international conferences and peer reviewed journals Your Profile: Masters degree in bioengineering, environmental sciences or applied mathematics Knowledge of plant and soil
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, free energy calculations, machine learning/deep learning, Markov State Models, docking Your Profile: Master degree in the field of Biology/Physics/Chemistry or related High motivation and interest and/or
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collaboration with leading international research partners within the EU project Your Profile: Masters degree or comparable degree in mechanical engineering, electrical engineering, environmental engineering
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presenting the results, while collaborating with other group members and collaborators You will obtain your PhD from Bonn University. Your Profile: Completed Master`s degree in physics (or related fields
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within the scientists at JSC, Bonn University, and within the CRC "NuMeriQS" You will obtain your PhD from Bonn University. Your Profile: Completed Master`s degree in physics (or related fields) Ideally
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international conferences Collaboration with other research groups Support in the preparation of third-party funding proposals Support in establishing the institute Your Profile: Master`s degree in physics
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. Heterostructures will be fabricated on-site and studied in our state-of-the-art scanning tunneling microscopes. Your primary scientific tasks will be: Ultra-low temperature (≤1 K) scanning tunneling microscopy
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are developing an innovative High Performance Computing (HPC) solver for the parallel-in-time simulation of multi-modal energy system with founding from Helmholtz Foundation and DFG. Your areas of research
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/DL communities, most importantly helmholtz.ai, the Helmholtz Artificial Intelligence Cooperation Unit: https://www.helmholtz.ai Presenting research results at scientific meetings, conferences, and as
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PhD Position - Modeling and simulation of memristive devices for application in neuromorphic systems
influence of different materials Close interaction with experimental colleagues to evaluate the simulation results. Development of design rules for efficient memristive switching cells Your Profile: Master