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). • Required Skills: 1. Strong background in statistical mechanics and thermodynamics 2. Proficiency in first-principles calculations (VASP, Quantum Espresso) and molecular dynamics simulations (LAMMPS, OpenMM
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manipulation of Pseudomonas aeruginosa and bacterial biofilms, including molecular biology such as the construction of reporter fusions, mutagenesis and transcriptomic analysis. Extensive experience in the study
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companies. These three research focused opportunities are being sought as follows: Positions 1 and 2 will conduct research into melanoma treatment resistance. Ideal candidates will have knowledge of molecular
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— from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for
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, Physics, Computer Science, or a related field. Hands-on experience with computational materials methods (e.g., DFT, molecular dynamics, machine learning force field simulations). Proficiency in Python
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disciplinary strengths in biomedical sciences, clinical research and public health to improve human health. Our faculty encompasses world-class departments (from neuroscience and structural molecular biology to
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Date of Assignment, Project, or Grant) 08/15/2026 Position Type Faculty Job Family Faculty Position Overview This postdoctoral appointment in theoretical and computational chemistry/molecular physics
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in Computational Biology. The candidates should be highly motivated and have a Ph.D. in computational biology or any related field, and a good knowledge of molecular biology. The candidate will be part
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world-class departments (from neuroscience and structural molecular biology to infectious diseases and population health), close ties with NHS partners, and a commitment to translational research and high
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal