26 optimization-nonlinear-functions Postdoctoral research jobs at Chalmers University of Technology in Sweden
Sort by
Refine Your Search
-
-neutral fuels, there is a possibility to achieve fossil free shipping. Hard wing sails are a common wind propulsor, but optimizing their performance requires advanced sheeting strategies to prevent stall, a
-
techniques in nonlinear optics (generalized nonlinear Schrödinger equation, Lugiato-Lefever equation, etc.). * The date shown in your doctoral degree certificate is the date we use, as this is the date you
-
particular focus on the effects of boundary layer ingestion. The work also includes: Whole-aircraft noise prediction Flight trajectory optimization Environmental and societal impact assessment of future air
-
benefit from a competitive salary, a collaborative work environment, great benefits, and strong ties to both academia and industry. Chalmers is a great university for young researchers to grow, with ample
-
biochemical and OMICs technologies to understand and predict the role of foods, dietary components and dietary patterns in human health. The research is also related to global food security topics in
-
work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes to a better
-
We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment
-
. MC2 houses a cleanroom for micro- and nanofabrication with the latest equipments. Our work is often done in close collaboration with Swedish and international partners within academia, industry and
-
abundant side streams into high-value bio-based materials, contributing directly to the circular bioeconomy. You’ll work with cutting-edge bioprocessing tools, collaborate with leading European partners, and
-
design. One of our group's goals is to create efficient surrogate models that reduce the computational cost of MD simulations by several orders of magnitude. Notable examples of our work in this area