Sort by
Refine Your Search
-
2021 and among the top 250 universities worldwide. Contact Prof. Dr. Jens C. Schwamborn / Developmental and Cellular Biology 6, avenue du Swing, L-4367 Belvaux (Belval), Luxembourg / (+352) 46 66 44 5536
-
of Systems Biology and Biomedicine – in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing
-
conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially
-
of Systems Biology and Biomedicine – in the lab, in the clinic and in silico. We focus on neurodegeneration and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors
-
of Systems Biology and Biomedicine – in the lab, in the clinic and in silico. We focus on neurodegeneration and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors
-
8 Apr 2024 Job Information Organisation/Company Luxembourg Institute of Health Department Ressources Humaines Research Field Biological sciences » Other Researcher Profile Recognised Researcher (R2) Country Luxembourg Application Deadline 5 May 2024 - 01:00 (Europe/Luxembourg) Type of...
-
. The successful candidate will be joining the Neurophotonics and Mechanical Systems Biology group led by Prof. Dr. Michael Krieg for characterization of the mitochondrial response to mechanical stress using
-
://scholar.google.de/citations?hl=de&pli=1&user=1Kt1jDkAAAAJ Key Skills, Experience and Qualifications Successful PhD in the area of biology Knowledge and keen interest in mammalian metabolism Hands-on experience in
-
conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially
-
the Department of Cancer Research at LIH. We focus on various modalities of high-throughput molecular data obtained in cancer biology. We aim to integrate corresponding data layers to improve our understanding