Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, leveraging existing literature and data from controlled experiments. The model will consider multiple photosynthesis parameters to predict microalgae growth. It will offer specific design criteria and
-
, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
-
University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
-
and increased our impact on workforce preparedness for climate change and resilience. The curriculum emphasizes understanding landscapes across multiple scales and contexts to support innovative design
-
-time 65%) in the DFG-funded Integrated Research Training Group (RTG) Beyond Amphiphilicity – RTG 2670: Self-Organization of Soft Matter via Multiple Noncovalent Interactions . The position is funded from
-
engineering, employing advanced tissue culture and human stem cell biology, tissue engineering, single-cell genomic profiling, and molecular biology techniques. Responsibilities will include designing and
-
TV-L, part-time 65%) in the DFG-funded Integrated Research Training Group (RTG) Beyond Amphiphilicity – RTG 2670: Self-Organization of Soft Matter via Multiple Noncovalent Interactions . The position
-
Cuartero (ERC Fellow) and Prof. Gaston Crespo, UCAM-SENS fosters innovation, education, and industrial collaboration. The unit operates within HiTech, a research incubator that promotes a multicultural
-
on chemical design, structural biology, protein purification and characterization, and single-molecule optical measurement and data analysis. You will perform secondments at the Johannes Kepler University, Linz
-
collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage