Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
embedded within the Autonomous Multi-Robots Lab in the Department of Cognitive Robotics at TU Delft. The goal of the Autonomous Multi-Robots Laboratory at the Delft University of Technology is to develop
-
on the gathered knowledge, the postdoc will identify separation processes most suitable for scale up for products from CO2 electrolysis. Furthermore, the postdoc will demonstrate integration of continuous lab scale
-
, molecular biology, biochemistry, and next-generation sequencing. In addition, you will have the opportunity to contribute to other ongoing projects in the lab, such as studying the molecular pathogenesis
-
Technology Enabling Advanced Drone- Facilitated Active Support Tactics for Military and First Responder Operations.” You will be a member of the Human-Robot Collaboration Lab and Learning & Autonomous Control
-
alternatives such as HBI, DRI, and scrap. These changes introduce new challenges in maintaining furnace stability, gas flow, and productivity. This PhD project focuses on developing and applying advanced
-
. Furthermore, the postdoc will demonstrate integration of continuous lab scale end-to-end process from a CO2 rich feed to a chemical intermediate. You will work together with a diverse team of scientists
-
to develop the central integrated microfluidics circuitry for laboratory evolution of synthetic cells. We will develop a lab-on-a-chip platform that integrates OLA production of liposomes, trap arrays, local
-
transport receptor (TR) proteins, can pass to traverse their cargo. A mechanistic understanding of this puzzling selectivity has remained lacking. The aim of this proposal is to resolve the fundamentals
-
department About the Groups: AI for Oncology Lab: Dedicated to developing AI solutions to enhance cancer diagnostics and treatments via methodological advancements and expert collaborations. We have a wide
-
section of the surgical oncology department About the Groups: AI for Oncology Lab: Dedicated to developing AI solutions to enhance cancer diagnostics and treatments via methodological advancements and