Sort by
Refine Your Search
-
will engage in theoretical and/or computational research in Nonequilibrium Statistical Physics and Active Matter, under the supervision of Ramin Golestanian. For more information concerning our current
-
: Master’s degree in a scientific or engineering subject with excellent grades; enthusiasm for neuroscience and brain mapping; openness to new methods such as deep learning. Offer: Funded PhD position (TV-L 13
-
-reviewed journals Your profile For being part of the selection process is needed: University degree (Master/ Dipl. (Univ.)) in a natural science, materials science, or engineering discipline good written and
-
month Your profile Excellent master’s degree in physics, materials science, engineering or chemistry Very good English knowledge We are committed to employing more handicapped individuals and especially
-
status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. Please submit your detailed application including the usual documents (Cover letter, CV, copies of your
-
Project (PhD Position) – Quantum-Classical Co-Simulation Framework Development for Neurobiological Systems Your Job: The overarching goal is to implement a code for multiscale quantum mechanics / molecular
-
Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
-
center, CRC 1719 ChemPrint “Next-generation printed semiconductors: Atomic-level engineering via molecular surface chemistry”. Your tasks Develop new approaches for electrodeposition of metals
-
engineered for the reporting, lineage tracing, or conditional deletion of defined dendritic cell subsets, providing powerful genetic tools for dissecting cell-specific roles in vivo. Using and optimizing
-
nanoconstructs. The primary goal is to build an AI-based digital twin, which can predict the assortment and sequence of two-dimensional all-DNA motifs required for the engineering desired tessellation patterns