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entitled “Non‑Alcoholic Beer Production Using Enzymatic Treatment of Barley Wort for Optimized Fermentation with Non‑Saccharomyces Yeasts.” The primary objective of this project is to demonstrate
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experience at the time of application; (b) have experience in conducting research, and skills in AI for modelling and optimization of industrial systems; and (c) be proficient in English. Applicants
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Associate on the track of Smart Integrative Energy Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms
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data analysis using next-generation sequencing platforms (e.g., whole-genome, whole-exome, long-read sequencing). Develops, optimizes, and applies computational or laboratory pipelines for genomic data
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the design, synthesis, and characterization of porous materials to control the release of fertilizers into the soil. The project aims to develop and optimize innovative porous carriers to enhance fertilizer
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project with the aim of: To optimize tools that perform a robust evaluation of radiation therapy plans and to optimize tools that allow the automation of the robust optimization procedure for the worst-case
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adaptive optimization during needle insertion, integrating live ultrasound imaging with GPU-accelerated dose calculation and optimization. The Postdoctoral Research Associate will join a multidisciplinary
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particle trapping and related measurement techniques. Relevant skills include understanding of fundamental principles, design, optimization, computational electromagnetic, mechanical and thermal modeling
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parts, modifying and optimizing 3D printer hardware and firmware to meet experimental requirements, and integrating these systems into functional laboratory platforms. The successful candidate will work
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the optimally energy efficient switching regime, avoiding the localised heating that plagues current energy assisted data storage schemes. We will explore experimentally and theoretically manipulation of magnetic