334 verification-computer-science-"Multiple" Postdoctoral positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Posting Title: Postdoctoral Scholar (Multiple Positions), Medicine - Biomedical Sciences Medicine-Structural Biology Department: College of Medicine, Medicine Biomedical Sciences Job ID: 60397
-
, Intelligent Manufacturing and Robotics, Communications Systems and Sensing, Nuclear Engineering, Advanced Materials, Membranes and Water Security, Smart Mobility and Logistics, Refining and Petrochemicals
-
completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
-
Do you have a computational background and interest in developing novel tools for integrating structural biology data to understand regulation of disordered regions of proteins? Then the Viennet lab
-
interdisciplinary, and together we contribute to science and society. Your role Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging
-
The two Swedish Centres of Excellence, Umeå Centre for Microbial Research and Umeå Plant Science Centre at Umeå University , are running the ‘Excellence by Choice’ Postdoctoral Programme in Life
-
mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
-
(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
-
Computer science, Biostatistics, Bioinformatics, Neuroscience, or similar field. Proficiency in written and spoken English. Previous work with large-scale data analysis, integration and visualization. Proficiency in
-
the program will receive training in genomic analysis, experimental modeling, translational science, and preclinical modeling of childhood hematological malignancies. The training program will equip the next