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, qPCR, digital PCR, amongst others. Sequencing data analysis will be done using data analysis pipelines (Python, R) on the high-performance computing (HPC) infrastructure. About the TOBI lab
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into their workflows. You will benchmark the supports, MEMS devices and developed codes on known multiphased reference samples. The TEM will be done at EMAT (University of Antwerp) under guidance of Prof. Dr. Joke
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data analysis to tackle relevant health challenges? Then come and join our lab (headed by Prof. Manuela Schmidt) at the Division of Pharmacology and Toxicology and at the newly established University
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Materials (CQM) group led by Prof. Jose Lado and work under the supervision of RCF Fellow Dr. Adolfo O. Fumega. Requirements We seek a highly motivated student with: A Master’s degree in physics, chemistry or
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information about the position please contact: Prof. Denis SCUTO Your profile Master's degree in Digital History, Data Science, Historical Migration Studies, Digital Humanities, or a related discipline Proven
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systems”, coordinated by Prof. Dr. Marco Salvalaglio and Prof. Dr. Axel Voigt and funded by the German Research Foundation (DFG). The core activities will focus on the investigation of disordered correlated
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in working with large data sets and the development of numerical models. Basic knowledge of glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming
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interest in environmental health and Exposome research; expertise in programming and quantitative data analysis, including machine learning in R/Python; affinity with bioinformatics; strong collaboration
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. The studentship will commence from September 2025 onwards, under the supervision of Dr Rebecca Baggaley and Dr Johan H Thygesen (IHI, UCL), Dr Rachel Burns (Institute of Epidemiology and Health Care, UCL) and Prof
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of Wageningen University and Research. You will be supervised by Dr Imme Benedict and Prof. Jordi Vila Gureau de Arrelano (chair group holder). Your qualities You are/have: A successfully completed – or soon