144 data-"https:"-"https:"-"https:"-"https:"-"Nagoya-University" Postdoctoral positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
to applicants who have received their Ph.D. degrees in neuroscience or related fields within the last 3 years and have experience in imaging in vivo. Skills in computational neuroscience and data mining using
-
Postdoc position to support international research and capacity-building projects employing elect...
of large-scale EM data for groundwater mapping. Teaching and training of Ethiopian partners and students in EM methods, data processing workflows, inversion software, and geological interpretation
-
technologies to analyze the molecular heterogeneity and connectivity of spinal neurons, explore how descending systems in the brain convey information to the spinal motor system, and define the functional roles
-
neurodegeneration both within as well as across -omics modalities, leveraging both in house as well as public databases. Expertise in the data analysis of one of the modalities that we will use in this project
-
research management and in leading project staff • Didactic skills / experience in e-learning • IT skills and excellent MS Office skills, dat • Knowledge of: mass spectrometry and analysis of complex data
-
modules for primary school teachers and educators Conducting education research related to the development and implementation of the PD modules and related actions in participating classes Coordinating data
-
description We invite applications for a 2-year postdoctoral position with the possibility of extension. The successful candidate will lead experimental campaigns and data analysis to quantify greenhouse gas
-
letter of intent describing how your research experiences and interests are aligned with the lab The names and contact information for three references ---Emailed applications will not be considered
-
description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
-
information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some