Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
candidate who just completed the PhD) and innovative Postdocs/Laser Scientists to join the IGNYTe project which is funded by the German Ministry of Research, Technology and Space in the scope of the Fusion
-
-reviewed journals (preferably in English and / or German) Teaching in the study program Bachelor en Formation Pédagogique and possibly further study programs at the Department of Education and Social Work
-
various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
-
cancer cells and in the macrophages within their tumor microenvironment. Our goal is to unravel the intricate mechanisms behind AIM2's recruitment to DNA-laden structures and explore the role of AIM2
-
participate in knowledge exchange with public authorities and industry and will be involved in teaching and supervising students at the BSc, MSc, and PhD levels. Qualifications for a postdoc position: Academic
-
be used to evaluate the gene therapeutic effects both ex vivo and in vivo. QUALIFICATIONS: The following qualifications are desired or required: · Completion of a PhD degree in the field of biomedical
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
of Excellence for Leukemia Studies with access to cutting-edge technology and resources. The successful candidate will ideally have a PhD (or will obtain a PhD) with a focus on molecular biology, cancer
-
meets the following criteria: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in
-
The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and