Sort by
Refine Your Search
-
Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning, such as ICML, NeurIPS, ICLR, etc. Excellent communication skills and fluency in English (spoken and...
-
models that significantly accelerate forging process simulations, optimize manufacturing parameters, and reduce dependency on computationally expensive simulations. This position offers the opportunity
-
loops between metastatic cancer cells and their microenvironment-the stage of escalation. Baumann Z, et al., EMBO Mol Med. 2022. 4- Optimized full-spectrum flow cytometry panel for deep immunophenotyping
-
- Feed-forward loops between metastatic cancer cells and their microenvironment-the stage of escalation. Baumann Z et al., EMBO Mol Med. 2022. 4- Optimized full-spectrum flow cytometry panel for deep
-
, to allow us to optimize materials properties. Your tasks Develop multi-material models at the atomic and molecular level to enable us to optimize materials processes and designs Using experimentally obtained
-
position focused on light-driven CO2 capture. Job description Our group is actively developing a novel photoacid-based approach for efficient CO2 capture, optimizing both the local chemical environment in
-
to carry out internationally leading research. Knowledge in one or more of the following topics is sought: engineering design, computational design and optimization, formal languages, engineering design
-
. Key Responsibilities: Quantitative in situ and in vitro imaging studies related to cytokine signaling and cell-cell interactions. Design and optimization of multiplexed fluorescence imaging, in situ
-
microbial communities and products that optimize food quality, safety, and human health. We are seeking a highly motivated postdoctoral researcher to join an innovative project on developing non-dairy
-
, focusing on the supply of sustainable fuels and platform chemicals under uncertainty. Extending the existing modeling and optimization framework to enable multi-criteria assessment. Engaging in regular