Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
on vaccine responses will be assessed using the optimal mRNA-LNP formulation defined in Aim 1, with readouts focusing on specific B cell responses and antibody maturation. This project should provide a robust
-
, and HHU. Your Job Develop machine-learning–based workflows and scientific software for segmentation, species classification, and lineage tracking in multi-species time-lapse microscopy data Optimize
-
in a sample Optimize and validate the performance of a MIP microscope setup in terms of sensitivity, spatial resolution and quantification through systematic experimentation and mathematical modelling
-
engineering, industrial engineering, applied physics, or similar). This eligibility requirement must be met no later than the time the employment decision is made A solid background in dynamic systems, optimal
-
, interdisciplinary environment Work-life balance: Optimal conditions for balancing work and private life, as well as a family-friendly company policy. The option of flexible working (in terms of location) is generally
-
robotics – reinforcement learning, whole-body model predictive control (MPC), and differentiable optimal control – to simulate human balance and step recovery in urban transport scenarios. The goal is a
-
postdoctoral position focused on innovative research in coupled transport-energy modeling and optimization. We are looking for a postdoc to join our team. Become part of our innovative group and contribute
-
-transfer printing. You will be responsible for: Developing novel fabrication methods for solid laser waveguides (e-beam lithography / dry-etch optimization / thin-film development) Testing and characterizing
-
/ dry-etch optimization / thin-film development) Testing and characterizing on-chip solid-state lasers Modelling and design of PIC narrow linewidth CW lasers for trapped ion/cold atom/color center quantum
-
, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy-efficiency to realized efficient Embodied/Edge-AI implementations. A key focus will be