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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
to decode the complexity of tissues and shed light into cancer biology. Our interdisciplinary team — comprising biologists, engineers, computer scientists, and medical researchers — develops next-generation
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, computer-based imaging and morphometric skills for the study of material culture, skills in technological and/or functional analysis, organic artifacts, or experimental archaeology approaches. The Department
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team explores new applications of AI in collaboration with the diverse scientific disciplines associated with the Helmholtz Association. Within our lab “Applied Machine Learning”, you will play a crucial
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mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High
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combining elements of its contributing sciences to solve challenging problems in a data-based, empirical approach. The PhD programme in Data Science (PDS) targets PhD students that work in data science in a
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support: close mentoring by fellows from academia and industry, stipends for conference travel, etc. Additional support is offered by the GraduateCenter . International elements Projects with partners in
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Website https://jobs.dkfz.de/en/jobs/168860/postdoctoral-researcher-computational-trans… Requirements Additional Information Website for additional job details https://jobs.dkfz.de/en/jobs/168860
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and long-read RNA sequencing. Investigate key RNA regulatory processes, including alternative splicing, RNA isoform usage, polyadenylation dynamics, and transposable element activity. Explore
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Beginning Winter semester Application deadline All students – online application: 1 March for the following winter semester https://www.lmu.de/psy/de/studium/doctoral-training-program-in-the-learning-sciences
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/InstituteCenter for Humans and Machines (CHM)CountryGermanyGeofield Contact City Berlin Website https://www.mpib-berlin.mpg.de/de Street Lentzeallee 94 Postal Code 14195 STATUS: EXPIRED X (formerly Twitter