138 programming-"the"-"DAAD"-"IMPRS-ML"-"Virginia-Tech"-"FEMTO-ST"-"https:" "DIFFER" positions in Germany
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within the University of Würzburg with firmly established interdisciplinary collaboration between different faculties. The scientific programme comprises research on infection, RNA-based infection
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of different faiths and beliefs. Grounded in the Christian view of human life, the KU aims to create an academic and educational culture of responsibility. The research group Reliable Machine Learning at the KU
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development opportunities through a variety of internal training programs 30 days of vacation entitlement as well as Christmas and New Year’s Eve as non-working days Personal retirement benefits (VBL) and
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sharable and fixed-term until 31 January 2029. The BlueMat project ‘Automated correlative image analysis for BlueMaterials‘, bridges the different techniques developed within the cross-area imaging and gives
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to the macro-scale, you will explore how the behavior of water-driven materials can be modeled across different scales by computer simulations. Equal opportunity is an important part of our personnel policy. We
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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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and Technische Universität Berlin. The IMPRS-IDI is a vibrant international doctoral program with about 75 doctoral students from more than 25 different countries. Our mission is to support students
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data-processing and visualization workflows using Python. Be part of change Data Handling & Software Skills: You are proficient in manipulating raw measurement data using software tools and programming
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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