Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
broader Paris research ecosystem. Candidates must hold a PhD or MD/PhD. Applications should be submitted as a single PDF including a two-page CV with selected publications, a research summary and future
-
and international research funding. • Strong ability to collaborate with fundamental or clinical research teams. PhD or MD/PhD candidates with no permanent position in France may also apply to the ERC
-
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
-
publications relevant for the field of the position Copies of diplomas List and short description of external research funding acquired over the past 5 (five) years List of PhD theses supervised List of teaching
-
over the past 5 (five) years List of PhD theses supervised List of teaching activities over the past 5 (five) years, including courses taught Statement of research, teaching and other activities planned
-
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
-
to and support scientific communication activities (e.g. websites, presentations, posters, press, and general public) Key Skills, Experience and Qualifications Master or PhD in a relevant scientific
-
contact Prof. Ralf Seppelt, Your profile You'll be able to demonstrate experiences in management environmental data in different projects, and meet the following qualifications: PhD in Data Science
-
profile PhD in an environment-related field followed by experiences as PostDoc in related interdisciplinary research contexts, optimally with research that aimed to work on environmental evidence synthesis
-
, or examples, these aspects are of utmost importance and need to be explored to provide convincing and well-grounded arguments [1]. This PhD program will propose to explore advanced methods to detect implicit