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Field
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, multilevel analysis). Knowledge in developing predictive and forecasting models in health or environmental research. Skills in machine learning or AI techniques for prediction of complex outcomes. Experience
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-optical network architecture. The proposed architecture makes reality an efficient 6G Cell-Free (CF)-based access network for high-density and high-coverage deployments taking full advantage of novel
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applicant has a strong background in bioinformatics and/or probabilistic machine learning, as well as experience in omics data analysis, and possesses solid English-language skills. Experience with
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Max Planck Institute of Immunobiology and Epigenetics • | Freiburg im Breisgau, Baden W rttemberg | Germany | 4 days ago
epigenetics, biophysics, metabolism, biochemistry, cell biology, proteomics, bioinformatics and functional genomics. We train doctoral researchers to become self-reliant and to acquire and utilise the knowledge
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broadness. The school not only covers all biological disciplines at Ludwig-Maximilians-Universität München from anthropology to ecology, molecular cell biology, botany, and zoology, but also includes life
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Description Job Summary: The Segel lab at Harvard’s Department of Stem Cell and Regenerative Biology (https://hscrb.harvard.edu/labs/segel-lab/ ) explores the biology of aging through the lens of developmental
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This doctoral position is part of GRAIL (“Gamma Radiation from the Atmosphere for Investigation and Learning”), a prestigious Horizon Europe Marie Skłodowska-Curie Actions Doctoral Network (MSCA-DN): https
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candidate, you are at the core of the project. You will perform all wet lab analyses using advanced techniques such as cell culture, reporter analyses and RNA-sequencing. You will perform the data analysis
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to learn more about the project, and perhaps our group? Feel free to browse our webpages: About our department: QCE department . About our group: Computer Engineering Lab . Job requirements For this position
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PhD student position on development of innovative bifunctional oxygen electrodes for SOC technology.
Programme? European Union / Next Generation EU Reference Number PR129500 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Nanoionics and Fuel Cell Group