Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
products. Apply the knowledge to correlate results / system operation. Set-up and monitor the performance of systems Job Requirements: PhD degree in a relevant Science or Engineering field Strong analytical
-
. Experience in matlab, MEEP, RCWA and other softwares and algorithms. Excellent publication track records. Good understanding of nonlinear and quantum optics. Strong knowledge of optical physics, while
-
record of high-quality publications. Preferred Experience: • Knowledge of battery materials (SEI, electrolytes) or AI4Science (MLIPs, generative models). • Expertise in high-throughput screening or rare
-
journals. Internal knowledge transfer, and collaborative research efforts. Develop and evaluate AI models, including, but not limited to, those for Multi-Agent Systems, Multi-Agent Reinforcement Learning
-
familiar with experimental finance and asset markets. Good track record in research, a healthy line of papers, and work-in-progress. Experience in conducting laboratory experiments. Knowledge of field
-
, biology, biomedical sciences, or similar fields a strong background in mechanobiology, molecular biology techniques, microscopy, and image analysis Prior knowledge of microfluidics would be advantageous
-
and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge relevant to the project domain. Demonstrated capability to conduct innovative research. The ability and
-
in cQED works. This will involve conceptualisation, design, simulation, and measurement of bosonic cQED systems. Qualifications The candidate should have comprehensive knowledge of the team’s
-
equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge relevant to the project domain. Demonstrated capability
-
, Sustainability Science, or related field. Experience in conducting LCAs using ISO 14040/44 standards and LCA software (e.g., SimaPro, OpenLCA, GaBi). Strong knowledge of LCI databases (e.g., Ecoinvent, ELCD) and