Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- Academic Europe
- European XFEL
- Fraunhofer-Gesellschaft
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Umweltforschung
- Leibniz
- Ludwig-Maximilians-Universität München •
- Nature Careers
- RPTU University Kaiserslautern-Landau •
- University of Bremen •
- University of Stuttgart •
- University of Tübingen
- cellumation GmbH
- 5 more »
- « less
-
Field
-
untargeted metabolomics to identify metabolic bottlenecks and guide strain engineering for improved cyanophycin titers and yields. Development and optimization of temperature-controlled two-stage bioprocesses
-
multiobjective optimization is a plus. Very good command of spoken and written English. We offer: A stimulating international research environment at the interface of mathematics and computer science. Close
-
: Engineering design & CAE (e.g., structural/thermal/fluids workflows) Chemical and process industries (e.g. optimization, control, surrogate models) Related computational engineering problems where simulation
-
to join our world-leading research program in robotics, remote sensing, and data-driven approaches for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and
-
resource extraction. We are offering a PhD position at the interface of computational physics, machine learning, and experimental reactor design. The project aims to develop novel approaches for controlling
-
://cavecore.eu/ Your Research Project (DC4) You will work at the intersection of machine learning, control theory, and autonomous multi-agent systems to develop hybrid learning-based control strategies
-
role of chromatin control mechanisms during viral latency and virus-induced tumorigenesis. We are particularly interested in fundamental principles that allow DNA viruses to disrupt, evade or exploit
-
Spectroscopy (XSVS) to data analysis. Simulate GHz speckle experiments to assess and improve developed methods, as well as to optimize experimental parameters. Participate in relevant experimental activities
-
Background: materials science, chemistry, or a closely related discipline Apply: https://mgician.eu/research/doctoral-candidate-projects/dc10/ DC11: Hybrid Refrigeration System with Precise Temperature Control
-
computing architectures, replacing conventional structureless and deterministic LIF point-neuron models. This is pursued through circuit designs that exploit and control memristor dynamics (e.g., local