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Postdoc position (f_m_x) ,,Combining Physics-Based Machine Learning and Global Sensitivity Analys...
Development of the code basis Presentation of the results at conferences and publication in peer-reviewed journals Your qualifications: Master`s degree (or equivalent) and a PhD degree in mathematics
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experiments in power electronics laboratories. · Experienced in implementing control loops on DSP systems, especially TI C2000. · Familiar with microcontroller programming tools, notably Code
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in global gravity field modelling Strong foundation in forward gravity modelling and related data analysis Demonstrated excellent programming skills in C++ and FORTRAN and editing source codes written
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, will be given preferential consideration in the event of equal suitability and qualification in accordance with the provisions of the German Social Code IX. In case of further queries regarding gender
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scripting language (Python or R) database development, maintaining & sharing code repositories. Curiosity to solve fundamental biological questions and enthusiasm to lead new independent projects. Ability
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tools, version control (Git), and collaborative coding (strong merit) Strong understanding of statistics and machine learning for high-dimensional data (strong merit) Experience with workflow management
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(EM) forward modeling, inversion, and applied EM studies. Within this team, the candidate will be responsible for the numerical development of inversion codes for both frequency-domain (FEM) and
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within the department ITER Technology & Diagnostics (ITED) a position for a Postdoctoral Researcher - Plasma Physicist (m/f/d) Job Code: 25/009 Full Time Limited As a member of the Neutral Beam Injection
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offers within the Stellarator Heating and Optimization division (E3) a position for a Postdoc (m/f/d) for pellet injector Job Code: gw25/016 Full time Limited to operate the pellet injector and improve its
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-biogeochemical modeling Reference code: 50134065_2 Commencement date: as soon as possible Work location: Geesthacht Application deadline: 27.02.2025 The department Ecosystem Modeling studies new hypotheses on key