1,534 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions in Germany
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. BioRxiv 2024; doi: https://doi.org/10.1101/2024.04.15.589474 ). In this PhD project, we will validate these molecules and interrogate their mechanism of action using confocal microscopy, protein chemistry
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Max Planck Institute of Microstructure Physics • | Halle, Sachsen Anhalt | Germany | about 8 hours ago
no application deadline. Please refer to https://www.imprs-stns.mpg.de/application for details. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double
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: https://uni-tuebingen.de/en/213700 Please submit your entire application using the web-based application platform https://berufungen.uni-tuebingen.de. The deadline for applications is 26 February 2026
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its innovative power and dynamism. Its status as a comprehensive university allows for multidisciplinary learning and teaching and has great potential for internationally renowned, interdisciplinary
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preference. Your application: We are looking forward to receiving your online-application (http://www.ipk-gatersleben.de/en/job-offers/) as one single pdf-file by 15.02.2026. If you have questions or require
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-cell genomics data, ideally using tools such as Seurat or Scanpy Enthusiasm for statistical modeling and machine learning to analyze complex biological datasets High level of care and attention to detail
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work together, in order to learn from one another and generate new knowledge and new methods to create a better quality of life in our world. DWI offers you a wide range of possibilities to develop
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printing) and computer-assisted load analysis Expertise in the numerical simulation of realistic loading scenarios of the musculoskeletal system Your Profile: The future position holder has an academic
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-cell communication, and cellular plasticity—all without destroying the sample. (https://www.cell.com/cell/fulltext/S0092-8674(25)00288-0 , https://www.biorxiv.org/content/10.1101/2024.11.11.622832v1
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formations are of growing economic and societal importance. By participating in a number of externally funded projects, doctoral candidates learn to perform independent scientific work. Through active