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Field
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. He/she/they will learn and apply state-of-the-art molecular and cell biology technologies established in our team, ranging from in vivo disease models to multi-omics and single cell analysis
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in shaping the change! We offer ideal conditions for you to complete your doctoral degree: Opportunity to conduct research at the interface of theory and experiment in a world-leading group in quantum
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 8 hours ago
for TOEFL is 600 for the paper-based test, 250 for the computer-based test or 100 for the Internet-based test. An IELTS test is accepted with a band score of 7 or better on a nine-point scale (academic
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for an initial period of 3 years. An extension for up to another 2 years is possible under the above-mentioned condition. The Research Group Our research activities primarily focus on developmental, cellular, and
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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months and a full year, which can be split into multiple stays. We strive to offer our guest researchers individualised support and funding. Amongst the benefits available to award winners are invitations
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Description About us: LMU Munich is one of Europe’s leading research institutions. Scientists from all over the world encounter excellent conditions for their work - in their own research field and
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the goal to mechanistically explore the interaction of phytonutrients in the plant-environment response in order to enhance and secure the nutritional quality of vegetables under changing climatic conditions
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Research Back Profile Areas Cluster of Excellence CMFI Cluster of Excellence GreenRobust Cluster of Excellence HUMAN ORIGINS Cluster of Excellence iFIT Cluster of Excellence Machine Learning Cluster
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positios are initially limited to four years. The Microbiome Dynamics (MBD) department contributes to the development of personalized microbiome-based strategies to aid in the detection, monitoring