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THE FIELDS OF: ATMOSPHERIC PHYSICS AND CHEMISTRY, ELECTROCHEMISTRY, ELECTROCHEMICAL ENERGY STORAGE (BATTERIES), ELECTRONICS, ELECTRICAL AND MECHANICAL ENGINEERING, HIGH-PERFORMANCE COMPUTING, MACHINE LEARNING
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hierarchically organised samples. To achieve this, we need to improve our understanding of the physical image formation and data recovery processes, among other topics. The advertised positions will focus
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Engineering, Information Systems, Mathematics, or a related field. Strong knowledge of software engineering (e.g., software architecture, development processes, quality assurance). Very good programming skills
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processes that produce energy and raw materials. The Department of Thermodynamics of Actinides is looking for a PhD Student (f/m/d) - Machine Learning for Modelling Complex Geochemical Systems. The job
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cornerstone of today’s cancer diagnosis, treatment planning, and response assessment. By administering specific radiotracers, PET enables the visualization and quantification of distinct physiological processes
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this process: How are mRNAs discriminated against all other nuclear RNAs? How does the cell ensure that only fully matured mRNAs are exported? How are faulty mRNAs and transcription byproducts targeted
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insights. All training is in English. THE RESEARCH | The mission of our IMPRS is to study fundamental biological processes in plants and to create knowledge and material that can empower innovative plant
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reactions and processes. RESOLV’s mission stretches from fundamental research to the translation into applications such as green technologies or smart sensors Open doctoral positions in the Cluster
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Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical process
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from space missions to understand the processes and timescales of formation of the Solar System and planets. Development of new geochemical tracers and mass spectrometry techniques with applications