Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Institute of High Pressure Physics of the Polish Academy of Sciences
- Nature Careers
- Constructor University Bremen gGmbH
- DAAD
- Faculty of Sciences of the University of Porto
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Josep Carreras Leukaemia Research Institute (IJC)
- Leibniz
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- Purdue University
- Technical University of Munich
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Center Utrecht (UMC Utrecht); Published yesterday
- University of Oslo
- University of Plovdiv
- University of Texas at El Paso
- University of Utah
- 8 more »
- « less
-
Field
-
therapeutics by protein design. This project will apply cutting-edge generative AI methods—including protein design, structure–function prediction, and multimodal learning—to develop and optimize a new
-
the design, development, and optimization of next-generation materials and structures across the following research categories: Materials Design, Reactive Systems, and High-Temperature Composites Development
-
multidisciplinary and international environment. You communicate clearly in English, both orally and in writing, and are able to document your experiments in a structured, reproducible way. You are curious, proactive
-
applications. The successful candidate will contribute to establishing and advancing the joint ALD laboratory, including the development of ALD rectors and process optimization for nitride based semiconducting
-
optimization of synthetic pathways; experience with spectroscopic techniques is highly desirable, as well as proficiency in interpreting structure–activity relationships, assessing reaction mechanisms, and
-
multidisciplinary and international environment. You communicate clearly in English, both orally and in writing, and are able to document your experiments in a structured, reproducible way. You are curious, proactive
-
are being developed that provide AI-supported tools to identify suitable sources and optimize utilization decisions throughout the product life cycle. Various machine learning approaches are to be used
-
for quantifying pollen/fungal spore allergen concentrations in air samples; - Optimizing a standard protocol for allergen detection in individually collected samples. 2 - Collaborate in teaching and participate in
-
Medicine and Public Health. This structure provides a rich environment for scholarship and collaboration. You will have access to research support including pre-award services, post-award services, and other
-
tools. Research topics include geometric modeling of engineering products, methods of geometric analysis, methods of Building Information Modeling, modeling and simulation of construction processes, and