Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
) molecular dynamics simulations; and 3) high-performance computing environments. Prior programming experience is preferred but not required. The postdoctoral scientist will design, perform, and develop new
-
) investigate the neoepitope antigenicity in peripheral blood of cancer patients. Detailed knowledge of applied cellular and molecular biology and immunobiology, biochemistry and cloning would be highly
-
simulations to identify key mechanistic drivers of viral persistence and immune response, and use SciML to automatically select ODE/PDE models that include these mechanisms. The postdoc will develop
-
the position. Experience in basic cell and molecular biology techniques in kidney disease research. Preferred Qualifications: The candidate should have: * Background in cell/molecular biology. * Experience with
-
the start of the position. Experience in basic cell and molecular biology techniques in kidney disease research. Preferred Qualifications: The candidate should have: ● Background in cell/molecular biology
-
related field. Ability to demonstrate professional competence in relevant research activities related to molecular bioengineering and biotechnology. Specialized training and experience in operating
-
formation of polyhalogens. The applied methods will include first principles methods like DFT, both for finite and periodic systems, ab initio molecular dynamics simulations and calculations of various
-
the start of the position. Experience in basic cell and molecular biology techniques in kidney disease research. Preferred Qualifications: The candidate should have: ● Background in cell/molecular biology
-
(broadly defined), molecular dynamics simulations, sampling techniques, machine learning, or quantum computing are big pluses. The candidate should have good communication skills, both oral and written, and
-
-antigens. The successful candidate will employ a broad suite of immunological and molecular tools—such as flow cytometry, cell-culture, single-cell RNA sequencing, data analysis and in vivo models