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from clinical specimens; Develop, optimize, and apply DIA- and PRM-based proteomics methods; Perform quantitative data analysis, normalization, quality control, and statistical interpretation
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, intelligent experiment control, and scientific workflows. Join an interdisciplinary team at the interface of AI, microbiology, and laboratory automation to shape the future of data-driven live-cell analysis
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Implementing and optimizing advanced experimental techniques Integrating data across molecular, genomic, and imaging platforms In addition, the candidate will: Contribute to supervision and mentoring of students
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, and optimizing cleanroom-based micro- and nanofabrication processes dedicated to the fabrication of these MEAs; Integrating the developed bioelectronic devices into microfluidic organ-on-chip platforms
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modelling and AI/ML for the quality monitoring/control, at the end offering to the society novel nanostructured materials, their shape-forming and integration into devices. Your tasks Operation of different
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position is hereby announced for a Recognised Researcher (R2A) (Postdoctoral Researcher) to carry out the project "EMPOWER-HFpEF: Early Multimodal Program to Optimize Well-being, Functional Capacity and
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optimization of cryogenic detector systems and apply AI methods to analyze the data collected by these systems, addressing key physics questions related to dark matter and neutrino interactions. This position
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experimentation. By integrating advanced robotics, intelligent workflows, and multidisciplinary expertise, HTMR enables researchers to rapidly design, synthesize, and optimize materials and processes across fields
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multidisciplinary expertise, HTMR enables researchers to rapidly design, synthesize, and optimize materials and processes across fields such as energy, metallurgy, smart materials, chemical engineering, and
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Responsibilities Develop and formulate new simple and complex fertilizer products Contribute to the optimization of fertilizer formulations to improve nutrient stability, homogeneity, physical quality, and agronomic