12 phd-in-mathematical-modelling-population Postdoctoral positions at Nature Careers in Sweden
-
physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
-
groups and industrial actors. The applicant must have completed a PhD degree in a relevant field at the time of employment. The applicant is further expected to have experience with solution-processible
-
degree may have been completed earlier. In addition to the above requirements for the position: PhD in molecular biology, biochemistry, or a related field Experience working with mouse models (perform
-
Hospital, and with experts in mathematical modelling at the translational research hub IceLab , Umeå University. Work responsibilities As a postdoc in our team, you will be an integral part of a dynamic and
-
spinal cord as a model system. You will engage a systematic strategy to identify these mechanisms by generating innovative mouse genetic strains, identifying embryonic defects and the underlying molecular
-
consequences of mitochondrial dysfunction in patients with inherited disorders and in animal models of mitochondrial pathology. The goal is to uncover novel insights into the role of mitochondria in human
-
will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that preserve auditory system homeostasis
-
patterns, and their ability to feed our growing population? Beyond the protein-coding genes we've traditionally studied lies an unexplored frontier of long non-coding RNAs (lncRNAs) – mysterious genetic
-
Project description The postdoctoral fellow will explore synaptic processes and white matter pathways between remote brain areas in vivo in animal models that underlie plasticity in the prefrontal
-
. The computational work includes, for example, the analysis of omics data and computational modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics