17 programming-"Multiple"-"U"-"Integreat--Norwegian-Centre-for-Knowledge-driven-Machine-Learning" positions in France
Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
interventions, support policy making and optimize control strategies. Our approach is highly multidisciplinary, looking at infectious diseases through multiple perspectives, multiple scales and multiple data
-
-CHANGE is an interdisciplinary research program aimed at enhancing neurological health resilience in the face of global change through a One Health approach. By collaborating with Luxembourgish and
-
reproducible scale-up protocols and develop standard operating procedures. Support multiple projects within the group requiring scale-up and contribute to cross-functional teams. Interface with external partners
-
) are the sentinel of the immune system. DCs are developmentally and functionally heterogeneous and encompass multiple subsets including XCR1+ IRF8+ DCs, and a variety of IRF4+ DCs (DC2As, DC2Bs, DC3s) and
-
functionally heterogeneous and encompass multiple subsets including XCR1+ DCs, and a variety of IRF4+ DCs (DC2As, DC2Bs, DC3s) and plasmacytoid DCs. DCs are short-lived cells continuously developing from
-
on FNR’s prestigious PEARL program, and has the option for an affiliated professorship. Both LIH and DFKI pledge their full commitment to ensuring that this new position becomes a cornerstone in the
-
areas Personalized learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50 nationalities represented in our workforce Diverse
-
; Participate in lab meetings and scientific discussions. Key Skills, Experience & Qualifications Education & Experience: Enrolled in a Master’s programme (M2) in biology, immunology, oncology, or a closely
-
, as well as the development of age-related pathologies, including cancer. IRCAN has access to multiple platforms covering various aspects of molecular and cellular biology, as well as the use of model
-
on baseline patients’ profile. Finally, we aim at enriching spatio-temporal treatment response models accounting for multiple imaging modalities (PET – CT) along with clinical and biological informations