Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
live in. Your role We are seeking a highly motivated PhD candidate to research how artificial intelligence (AI) techniques can help software engineers formally specify and verify software systems. State
-
to the lithographic process such as overlay; - Interact and work with a PhD student focusing on the data modeling to understand the acquired data and explore the limitation of the Low Energy SAXS technique; - Define
-
equipped biophysical analysis platform. 4) Nanobody production. 5) X-ray crystallography facility and 6) Cryo-electron microscopy facility equipped with a Glacios Thermofisher TEM. Requirements A PhD degree
-
: 305,000 euros total funding over the project duration, including: • 199,000 euros for contractual collaborators (PhD students, postdocs, research assistants) • 106,000 euros for operational expenses
-
of the circular polarization by modulating electrically the spin-injection direction remains still a challenging issue.The goal of this PhD thesis is to study the electrical control of spin injection in a spin
-
laboratory and collaborative meetings. Collaborate actively with scientists performing wet bench experiments (PhD, postdocs). Interact productively with other bioinformatic engineers or researchers on Institut
-
] and taphonomy of animal bones [Cifuentes-Alcobendas and Dom´ınguez-Rodrigo, 2019] are gradually intensifying. Thus, the present PhD project is an opportunity for the development of original ML solutions
-
insights into scale-up and process feasibility across collaborative initiatives. Train and supervise junior engineers, technicians, PhD students, Postdocs, and interns in process development and safety. Is
-
. This pluridisciplinary research team is led by Claudine Backes, PhD, Scientific Director of the National Cancer Registry of Luxembourg (Registre National du Cancer (RNC)) and head of the Cancer and Prevention Epidemiology
-
, or the misinterpretation of some inputs to result in a particular behaviour that is favourable to the attacker. In this thesis, the PhD candidate will first study the impact of decentralizing ML algorithms