Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Heriot Watt University
- Rutgers University
- University of Bergen
- AALTO UNIVERSITY
- Case Western Reserve University
- Institut Pasteur
- NIOZ Royal Netherlands Institute for Sea Research
- UNIVERSITE PARIS CITE
- UNIVERSITY OF VIENNA
- University of Arkansas
- University of Lund
- University of Nevada, Reno
- University of Southern Denmark
- University of Turku
- University of Virginia
- Université Bourgogne Europe
- 7 more »
- « less
-
Field
-
) – Sterlie Inflammation & Epigenetics The Department for Nucleic Acid Immunity & Genome Defense at the Institute of Clinical Chemistry and Clinical Pharmacology at the Faculty of Medicine of the Rheinische
-
advanced manufacturing solutions., addressing challenges in on-site manufacturing and recycling for civilian and defense applications. The broader project focuses on developing a transportable printer
-
. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed
-
of electronic structure and computational materials discovery. In this role you will be performing first principles-based simulations for the description of chemical and structural dynamics in the context
-
immunity through detailed molecular characterization of these disease models. Joanna Rorbach’s lab: Our current research encompasses genetic, structural, and biochemical studies to understand the regulation
-
plant resistance traits and herbivore counter measures in row crops such as Rice, Soybean and Sorghum. Research focus will be on identifying variation for chemical and structural defenses in these crops
-
academic freedom benefits from knowledge and skills transfer between disciplines, organisations and sectors structured, skill-based training high-quality working conditions personal career support equal
-
-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
-
surveillance) sensors can also be seen as temporal events. While data from current sensors can be manually converted into events for fast processing, it is also possible to develop hybrid structures where some
-
, therapeutic development. His lab employs a multidisciplinary approach, comprising biochemistry and cellular biology as well as global transcriptomic, epigenomic, and 3D chromatin structure analyses, using