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effector functions. Such understanding is essential for the development of new therapies against cancer and infectious diseases. Further information on our work can be found on our homepage and in our
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young, dynamic, and interdisciplinary research team Access to state-of-the-art imaging technologies and preclinical research facilities A wide range of training, mentoring, and career development
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. Become part
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 14 days ago
offer Job with a fixed-term employment contract for three years in the public sector Salary Class 100% E13 Structured and established staff development program Versatile and varied activities in a
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research spectrum covers a unique range. Institute of Material and Process Design The Institute of Material and Process Design is dedicated to the sustainable and ecological development of innovative
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Your Job: As part of an interdisciplinary team, you will develop approaches for the automated and large-scale provision and integration of energy systems data and models and apply data science
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oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic
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development service within the LMU LMU Gateway support in all matters relating to the move to Munich [for international PhD students] Participation at conferences and in international research projects Many
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outgrowth assays • Investigate HIV integration sites in relation to p24 expression • Collaborate closely with national partners within the DZIF network • Prepare data for publications and
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– depending on the successful candidate’s background and interests. Your tasks: Develop new exact and approximation algorithms and perform complexity analyses for optimization problems on (temporal) graphs