Sort by
Refine Your Search
-
Listed
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- Nature Careers
- Leibniz
- University of Tübingen
- Fraunhofer-Gesellschaft
- Academic Europe
- Deutsches Elektronen-Synchrotron DESY
- Helmholtz-Zentrum Hereon
- Karlsruhe Institute of Technology, KIT
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- University of Hamburg
- 2 more »
- « less
-
Field
-
Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 3 hours ago
are envisaged to optimize the magnetic equilibrium at the plasma edge and investigate the heat transport and plasma physics for different divertor locations and geometries. One position is planned to be in
-
adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
-
of the research project “Unreal engines — Understanding language models through resource-optimal analysis: Implicit Bayesian pragmatic reasoning & emergent causal world models”. The project uses
-
quantum computers, which represent a promising path towards fault tolerant and scalable quantum computing. The project addresses a broad range of optimization problems relevant to both science and industry
-
optimization of tailor-made endolysin variants using modern bioinformatic methods and tools. What you contribute General university entrance qualification Doctorate Very good English skills Knowledge of common
-
on bacterial and archaeal communities to investigate their temporal dynamics Assembly of defined synthetic microbial communities Development and optimization of workflows for the efficient bulk deposition
-
future of the C4 grasslands of the world”. We will develop a novel approach for simulating C4 grasslands in interaction with C3 grasslands and trees based on Eco-Evolutionary Optimality (EEO) within
-
protocols to our Workflow Performing microscopy experiments on sperm dynamics under various controlled environmental conditions Merging experimental results, simulations, and literature for optimal conditions
-
by desorption, as well as crystallization and precipitation of Magnesium Ammonium Phosphate (MAP). These processes are tested and optimized on a pilot-scale wastewater treatment plant using real
-
C4 grasslands of the world”. We will develop a novel approach for simulating C4 grasslands in interaction with C3 grasslands and trees based on Eco-Evolutionary Optimality (EEO) within the framework