15 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"IMPRS-ML"-"P"-"https:" "DIFFER" positions at Nature Careers in Germany
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fields of Digital Ocean Twins and multiuse of resources. Your tasks We are looking for a motivated and eager-to-learn new colleague with good programming or data science skills. The applicant will use
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to patient care but also to research and teaching - in line with our mission statement "Knowledge creates healing" and enjoy an excellent reputation both nationally and internationally. 160 different
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transcriptomics programme to gain deeper insights into how different types of brain tumours grow and how brain tumour and brain resident cells interact in this process. You will contribute to these research efforts
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. The BlueMat project ‘Automated correlative image analysis for BlueMaterials‘, bridges the different techniques developed within the cross-area imaging and gives support to all researchers dealing with image
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for BlueMaterials?, bridges the different techniques developed within the cross-area imaging and gives support to all researchers dealing with image processing challenges. By focusing on automation and enabling
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is a vibrant international doctoral program with about 75 doctoral students from more than 25 different countries. Our mission is to support students to develop into creative, critical, responsible and
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new challenges in personalized oncology through the MASTER program. This prospective registry trial employs very comprehensive molecular profiling and integrated data analysis (WGS/WES, RNA sequencing
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working environment with close interaction amongst the different scientific disciplines. Family-friendly, flexible working conditions: Home office options, flexible working time models as well as targeted
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communication Excellent teamwork and communication skills Dedication to bridging scientific findings into clinical practise Ability to work independently and proactively with colleagues from different disciplines
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-specialist users. This will require extensive scientific data analyses with regard to socially relevant issues. Furthermore, large amounts of data from different disciplinary contexts must be compiled and