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Cancer Consortium (DKTK). For the DKTK partner site Munich, we are seeking for the next possible date a PhD Student in Mutational Processes Driving Somatic Evolution Reference number: 2025-0224 From
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Your Job: The focus of the thesis is on modelling the choice of process technologies in the chemical industry based in order to assess the potential of innovative bio-based processes to substitute
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of Prof. Dr. Frank Cichos and Dr. Nico Scherf (Max Planck Institute for Human Cognition and Brain Sciences). The position is part of a collaborative project in the Center for Scalable Data Analytics and
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Bachelor-/ Master Thesis: » Modelling of Heating Processes for Recyclable Monomaterial Sandwich Pane
Heating Technology« , we design and construct various prototype machines for laser-based and laser-assisted processes. Within the scope of your thesis, you will develop the hybrid heating processes
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well as the statistical and bioinformatics analysis of chemical and biological processes and systems, and to gain a deeper understanding of biochemical and biotechnological processes and systems through the integration
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With its focus on future-relevant key technologies and the utilization of results in economy and industry, the Fraunhofer Society plays a central role in the innovation process. As a guide and
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The »High-Performance Cutting « department develops technologies and application-oriented solutions for cutting along the entire process chain - from process design and pre-process simulation
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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, containerized plant for green ammonia synthesis incorporating innovative technologies (e.g., electrolysis integration) Develop and assess process concepts for different reactor designs Evaluate process variants
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incorporating innovative technologies (e.g., electrolysis integration) Develop and assess process concepts for different reactor designs Evaluate process variants with respect to efficiency and operational