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- from its generation and manipulation to its application. The services offered by the institute cover the entire photonic process chain ranging from opto-mechanical and opto-electronical system design to
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)” the following position is to be filled as soon as possible Scientist (m/f/d) (100 %) for the research field "Coupling of a novel membrane technology for biogas upgrading with the biogas production process
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, e.g. computer science, mathematics, physics, engineering, electrical engineering. You ideally have programming skills, e.g. in C++, and Python. You enjoy programming in the context of relevant
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and work-life balance are very important. Our research focus is on the coastal and marginal seas, especially the Baltic Sea. The staff of the four sections Physical Oceanography and Instrumentation
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practical implementation in decentralized Cyber-physical Systems, such as the VPP, is mostly unknown, especially due to the complexity (i.e., our ability to predict the behavior of the system against a set of
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Physics. Desirable: The desired qualifications of the applicant include relevant experience in the following subject areas: Experiments with ultrashort laser pulses, higher-order harmonic generation, time
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plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. Interested? Apply
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PhD Programme "Gene Regulation in Evolution" | Mainz, Rheinland Pfalz | Germany | about 20 hours ago
adaptation Background: Adaptation is the process by which organisms in a population evolve to fit the environment in which they reside. The ‘fuel’ of adaptation is generally considered to be genetic variation
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PhD Programme "Gene Regulation in Evolution" | Mainz, Rheinland Pfalz | Germany | about 20 hours ago
have been found to localise to other cellular compartments where they may function in non-ciliary processes. These have most likely arisen via a process of co-option. One of these non-ciliary processes
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well as interpretable AI approaches to develop clinically useful tools that can aid the diagnostic and therapeutic process in clinical care. Among many other projects, we are currently using support vector machines