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involves developing state-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build more trustworthy and robust AI models that can
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engineering Knowledge of machine learning (deep learning) Basic knowledge of computer science or software development, e.g., using Java, Python, or C++ Good communication and information skills, goal-oriented
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PhD candidate (f/m/x) – Interphase between epigenetics and cellular metabolism 102819 Full time 39 hrs./week Neuherberg near Munich At Helmholtz Munich, we develop groundbreaking solutions for a
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to gather requirements and report findings. A key aspect of the role involves implementing and open-sourcing proof-of-concept software tools, alongside collaborating with other researchers within the program
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skilled individuals who prioritize curiosity and trust. What we offer The department/centre offers: a well-developed research infrastructure, laboratories and access to shared equipment an exciting
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years of full time with no teaching obligations, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in Ecology within three months of accession in
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international level Excellent opportunities for professional development and access to state-of-the-art technologies via the University of Münster campus Flexible working hours Contact: Dr. rer. nat. Insa Buers
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like the well-known CRISPR-Cas adaptive immune system, bacteria have developed many other immune systems that we are only just beginning to understand. In this project, you will investigate
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established, the research group focuses on understanding how genetic alterations in cancer cells shape the immune microenvironment of brain metastatic tumors, with the long-term goal of developing novel
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We Offer A diverse and engaging role in a collaborative and supportive research team A broad range of professional development opportunities, including internal and external training programs and