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Field
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bring to the table You have a completed scientific university degree in process engineering, microsystems technology, nanotechnology, or a comparable field. Ideally, you have already gained experience
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
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students of the REUNATECH network. Development and validation of FE models and shaking table experiments for base isolators under different earthquake effects. Optimisation of basic isolation by refining
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skills proficiency in English (level B2 to C1 according to the Common European Framework of Reference for Languages); knowledge of German would be an asset Experience in the following areas would be
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, geophysics, geology or a closely related field Fluent in English (spoken and written) Strong motivation for mathematical inverse methods Strong motivation for team collaboration Experience with paleomagnetic
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. Your profile A Master’s (or Bachelor’s) degree in chemistry, materials science, or related field. Desired expertise: Electrochemistry, scanning probe techniques (AFM, STM, SECM) Additional experience in
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working style Fluent written and spoken English; German language skills are advantageous Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be
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experience in remote sensing and programming is a plus (e.g., using QGIS or R) Good communication skills Ability to work in a team Your tasks You will conduct research on the use of remote sensing data
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forecasting models by analysing historical wind records alongside high-resolution COSMO-REA2 reanalysis data. Boundary layer wind tunnel experiments will be conducted to distinguish the structural impact of
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(required) German language skills are desirable Ability to work both independently and as part of a collaborative team High motivation for interdisciplinary research and experimental innovation Experience