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for replication timing and directionality, GRO-seq for nascent transcription, and DRIP-seq for R-loop detection. These methods allow us to integrate replication, transcription, and DNA repair features at nucleotide
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, empwering personalized medicine in psychiatry. Experience in quantitative genetics and/or deep neural networks, R/Python/PyTorch/Tensorflow etc. is desirable. Apply now via our career portal until 19.11.2025
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Primary Supervisors: Leonardo M. Díaz Nieto, Henk R Braig Duration: 36 months Project Description: The specific task of this PhD position is to develop a forensic air sampling method, protocol, and
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in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from
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sample preparation Desirable Qualifications Prior experience with negative ion mode MS is an advantage Interest in computational proteomics workflows Programming or scripting skills (e.g., Python, R
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consent to share your application with Julie MOUZON, R&D Director from Circuit Foil Luxembourg Your diploma has to be recognized in Luxembourg. Please refer to: https://www.uni.lu/en/admissions/diploma
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(DNA-Seq, (sc)RNA-Seq, ChIP-Seq) and/or R programming skills will be a plus. • Skills: Curiosity, rigor, perseverance, creativity, excellent time management and sense of priority, willingness to learn
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted in the Department og Microbiome Dynamics of Prof. Gianni Panagiotou of the Leibniz-HKI in
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histopathological evaluation Statistical programming languages like R or Python Good communication skills in English; proficiency in German desirable but not required Willingness to work independently while