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underlying these processes remain poorly represented. This PhD project aims to fill that gap by using molecular simulations to quantify the interactions of SOM and EPS with water and minerals, and to connect
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trustworthy AI architectures in domains such as generative AI, large language models, neural networks, and imaging as well as to integrate various types of data to advance research and improve clinical decision
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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the genetic material, and how it interacts with various kinds of micro-organisms. Using this knowledge, we try to elucidate the causes of diseases, and find new ways to diagnose and treat them. The Institute is
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Portal https://securemail.tu-dresden.de by sending it as a single pdf file to uwe.hampel at tu-dresden.de or to: TU Dresden, Chair of Imaging Techniques in Energy and Process Engineering, Prof. Dr
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to: mikhailzu@ariel.ac.il, subject: application PhD physics Application Materials Required: Further Info: https://www.ariel.ac.il/wp/physics/en/ Ariel University, Physics Dpt. Ariel 40700
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of computational imaging, modeling optical designs, and lab work for data acquisition and post process. 3. Present research findings in meetings and publish in scientific journals; maintain detailed records and
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Intelligence? Our research group CVI2 - Computer Vision, Imaging and Machine Intelligence, headed by Prof. Djamila Aouada, is seeking a talented researcher to take on a leading role within an innovative and
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Education: PhD in Biology related field. Work Experience: Research experience in wet biological laboratories with experience in cell culture, imaging and molecular biology techniques. Experience in working
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limited to, molecular biology and cloning, T cell transduction, flow cytometry, imaging, in vitro and in vivo assays, behavioral tests, and RNA-sequencing. Collaborates on designing, conducting and