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, archive files like zip, rar etc. Word documents cannot be processed and therefore cannot be considered!) with the usual documents, in particular CV, proof of qualification and certificates, stating
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are equally as qualified as other applicants will receive preferential treatment. Selection process Please submit your application (see below) as a single PDF file to Dr. Konstantin Hennis via
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Your Job: The conventional, manual co-design of algorithms and hardware is slow and inefficient. Our group develops methods and tools to automate the co-design process. The core of this project is
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mRNAs remain less understood. Our lab is dedicated to uncovering these processes. Using a combination of in vivo and in vitro tools, we investigate how these regulatory systems function, why
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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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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for climate-positive and CO2-negative processes. What you will do Optimization of the pilot plant for the combustion of solid fuels (biomass, waste) with oxygen and subsequent CO2 capture Development of models
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or reinforcement learning Interest in (or willingness to learn) plant physiology, genomics and process-based modelling; any prior exposure to crop or ecological models is a plus Proven ability to work independently
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secondments) and attend conferences and network activities If applicable, further desirable qualifications: Experience in organic semiconductor processing and characterization High degree of independence
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programme via the DAAD Portal. Regardless of this first step, applicants must at the same time apply for admission at SEARCA using the contact details and procedure prescribed by the institution