162 web-programmer-developer-"PhD-Jobs.NET" positions at Technical University of Munich
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scientific development of this Working Group to support the Food Systems Biology approach at the Leibniz-LSB@TUM • Acquisition of third-party funding and scientific management of the research projects
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the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct experiments in the field
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research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data
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at the forefront of technology. As a key member of the detector team, you will play a leading role in the development, integration, and commissioning of complex detector systems for newly planned or upgraded
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well as application optimization. This research focuses on the development of a parallel debugging framework tailored for custom RISC-V instruc-tion set extensions. The goal is to enable efficient execution tracing
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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Academic staff for the "Learning Sciences and Educational Design Technologies" working group (f/m/d)
-tings. Responsibilities The post-doctoral researcher will work on current scientific questions related to equitable STEM education and develop and conduct innovative educational interventions, prototypes
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main focus on the development of control software. ▪ You will design and implement advanced control and readout protocols and optimize experimental characterization workflow,s leveraging machine learning
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project funded within the DFG Priority Programme “Illuminating Gene Functions in the Human Gut Microbiome” (SPP 2474) and be involved in microbiology and molecular microbiology of the gut microbiota
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pages or friendships between users in a social network. Due to the large variety in data science tasks performed with graph-structured data, different specialized systems have been developed, such as