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coordinating reactions to occur at the right time and in the right place, and one remarkable way that cells organize biomolecules to perform reactions is by utilizing the physics of binodal coexistence, called
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to perform theoretical physics research at the interface of quantum information, condensed matter and high-energy physics. A strong background and interest in one or more of the following topics is desirable
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“Research for a life without cancer" is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention
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-Scripting very good knowledge in programming, preferably in Python,Fortran, Matlab or R experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory capability to work in
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Green Deal and the lignite phase-out. Funded by the German Federal Ministry of Education and Research, the project focuses on two central aspects: accelerated technology development and the sustainable
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development opportunities and annual performance reviews. You are paid according to the collective agreement for the public sector (Tarifvertrag des öffentlichen Dienstes, TVöD Bund), which includes an annual
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differentiation protocols for iPSC perform CRISPR-based genome editing and molecular biology experiments develop and optimize high-throughput sequencing techniques work with a substantial amount of multi-Omics data
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modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements PhD Position: Master’s degree in Robotics, Mechanical Engineering, Electrical
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
partners (e.g., on various environmental factors and communities of other size classes). Key tasks will involve: Perform bioinformatic analysis of microbial molecular data (metabarcoding, metagenomes
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Tübingen offers a combination of high-performance medicine and strong research. The goal of the Carl-Zeiss-Project “Certification and Foundations of Safe Machine Learning Systems in Healthcare” is to enable