Sort by
Refine Your Search
-
+ imaging, data analysis and neuronal circuits. Requirement PhD in neuroscience, computer science or a related field High motivation for explorative research Experience in neurophysiology (electrophysiology
-
our interdisciplinary team in the Division of Translational Oncology headed by Prof. Julia Skokowa. Our laboratory is dedicated to advancing the understanding of the molecular mechanisms
-
elucidation, with the aim of understanding their function and dynamic mechanism. One key focus lies on the understanding of neuronal ion channels, their regulation through other proteins, small molecules and
-
. The project motivation is based on the current status that, while significant amounts of for example recycled polypropylene and high-density polyethylene are available, their mechanical properties and
-
We are seeking a highly motivated individual for a cross-disciplinary post-doctoral position in the laboratories of Thad Stappenbeck, MD/PhD and Christine O’Connor, PhD at the Cleveland Clinic
-
. Supporting the production of technical documentation, deliverables, and contributions to collaborative publications. Is Your profile described below? Are you our future colleague? Apply now! Education PhD in
-
mathematical and computational techniques, it is essential to have experience in mathematical modelling / dynamical systems theory / numerical methods / coding. An ideal candidate would have a PhD, or
-
research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
-
of pathogenicity genes between microbes and can therefore drive the emergence of novel diseases. In pathogenic fungi, an emerging global threat to both humans and our crops, the mechanisms that facilitate HGT remain
-
activities in circuits of murine models of 22q11.2 and 3q29 deletion syndromes, two rare conditions that confer the highest genetic risks of schizophrenia. Qualifications: PhD in computational neuroscience