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metamaterials. The successful candidate participates actively in the qualification program and general scientific activities of D³. More information can be found at https://tu-dresden.de/ing/forschung
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available in the further tabs (e.g. “Application requirements”). Objective The primary aim of this programme is to promote the research projects within the context of the doctoral degrees and scientific
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journals Presenting results at scientific meetings Your profile Completed university studies (Master/Diploma) in the field of Chemistry, Physics, Computer Science or related field Knowledge of Density
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intrinsic noise. These skills will be gained in part through scientific research that applies techniques from statistical and condensed matter physics to understand how phenomena in biological systems – key
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PhD Working Language German English Required Degree Master Areas of study Chemistry, Theoretical Chemistry, Nanomaterials, Physics, Theoretical Physics, Artificial Intelligence, Computer
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on the selection process, frequently asked questions, etc please see https://www.mhh.de/hbrs
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Master’s degree (or equivalent) in a relevant discipline such as computer science, mathematics, physics, or data science. They should have strong analytical skills related to statistics, machine learning
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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Description The Class of Language Education within the Graduate School Language & Literature at LMU Munich offers a research-oriented and interdisciplinary doctoral program drawing on the expertise
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further academic qualification (usually PhD). Tasks: Contribution to the ERC Synergy Grant “POCOCOP (Polynomial-time computation: opening the black boxes in constraint problems)”. This includes