Postdoc of Computational Protein Biophysics Department of Biology Faculty of Science University of Copenhagen The Lindorff-Larsen group at the Linderstrm-Lang Centre for Protein Science Department of Biology Faculty of Science University of Copenhagen Denmark invites applicants for a postdoctoral position in computational protein biophysics.The position is part of the ERC Synergy project DynaPLIX (Dynamics of ProteinLigand Interactions) that aims to combine molecular dynamics simulations NMR spectroscopy and time-resolved crystallography to quantify the dynamical pathways of how ligands bind to proteins.

The ideal candidate will have a deep knowledge and experience in both machine learning and RNA Biology (structure, stability, translation) and a high degree of proficiency in Python (scientific programming), machine learning libraries, bioinformatics tools, and cloud computing and be responsible for developing machine learning and complex analytical workflows to support the selection, design and optimization of siRNA sequences and siRNA formulations.

We are looking for scientists who can work as part of a multidisciplinary team to discover, develop and launch our crop protection pipeline. Come be a part of a team that is singularly focused on enriching the R&D pipeline with crop protection solutions!

Company Description Join us and make YOUR mark on the World!Are you interested in joining some of the brightest talent in the world to strengthen the United States security?

Job ID: 28990 Updated: June 8 2023 Location: Main Campus Category: Education and R&D - Education & Training --> We would like to take this opportunity to acknowledge the traditional territories of the people of the Treaty 7 region in Southern Alberta.The City of Calgary is also home to Mtis Nation of Alberta Region III.

You will be involved in structure-based (SB) and ligand-based (LB) drug design, compound selection and acquisition, HTS data analysis and triage, virtual screening, statistical modeling, and ADMET prediction.

Work with R&D teams of our Biopharma clients, and collaborate with a team of Biologists, Medicinal Chemists, Computational Biologists, Data Scientists, Data Engineers, Web Developers, Cloud Engineers, and Solution Architects to create the next generation of innovative computational chemistry solutions for target discovery and validation.

Job ID: 28990 Updated: June 8 2023 Location: Main Campus Category: Education and R&D - Education & Training --> We would like to take this opportunity to acknowledge the traditional territories of the people of the Treaty 7 region in Southern Alberta.The City of Calgary is also home to Mtis Nation of Alberta Region III.

Company Description Join us and make YOUR mark on the World!Are you interested in joining some of the brightest talent in the world to strengthen the United States security?

We are seeking an experienced computational chemist with a proven track record of success in drug discovery to join our team in Medicine Design in Cambridge, MA. Pfizer Medicine Design focuses on small molecule drug discovery efforts in multiple disease areas and in this role you will help discover medicines for our Inflammation & Immunology and Anti-Infectives research areas. Our location in Cambridge, MA is at the center of biomedical innovation and facilitates interaction and collaboration with local universities and biotech companies.

Develop, integrate, and apply cheminformatics/computational tools and workflows to improve existing infrastructure and acquire or create needed ones

Terray is currently seeking a motivated, creative, and experienced computational chemist. As an integral member of our Computational and Data Sciences (CDS) team, the candidate will be responsible for developing and applying state-of-the-art physics-based and machine learning approaches to accelerate the design of small molecules at all stages of the drug discovery pipeline.

The Theory and Modeling group at the Center for Nanoscale Materials, Argonne National Laboratory, has immediate Research & Development Level 1 term staff opening in the area of computational materials modeling, AI/machine learning and data analysis of complex fluids. Specifically, the research involves development of AI and machine learning workflows and tools to understand critical phenomena in complex fluids.

The primary focus of this position is to model and design organic fluorophores and probes for bioimaging and biosensing applications, as well as molecules that exhibit room-temperature phosphorescence. As a member of our team, the postdoctoral researcher will work collaboratively with both computational chemists and experimentalists to develop a deep understanding of various molecular systems, identify design rules, and create high-performance fluorescent and phosphorescent organic dyes with tailored properties.

The ideal person has extensive expertise in state-of-the art ligand-based and structure-based drug design methods and has contributed to the advancement of small molecule projects through all stages of drug discovery, including development candidate selection. Of particular importance is the ability to build strong collaborations with medicinal chemists and structural biologists to help shape the company’s scientific drug discovery strategies.

The successful candidate will help to build our Computational Chemistry capabilities and will collaborate with and support Medicinal Chemistry, Structural Biology, Bioinformatics and Discovery Sciences departments.

Requisition Id10595 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security.Our capabilities span a broad range of scientific and engineering disciplines enabling the Laboratory to explore fundamental science challenges and to carry out the research needed to accelerate the delivery of solutions to the marketplace.

The Department of Chemistry at Clemson University invites applications for a 12-month non-tenure track, computational chemistry, faculty position. Applicants must possess a PhD degree in Chemistry or a related field and have direct experience in the application of various computational methods to chemical research. The primary responsibility of the selected candidate will be to support the research programs of Chemistry faculty, in all chemistry disciplines, through the application of established computational chemistry methods.

Applications are invited for a Postdoctoral Research Associate in Computational Chemistry to work under the supervision of Professor Fernanda Duarte Gonzalez for a period of up to 18 months. This position is to carry out research in computational chemistry, including reaction mechanism modelling and software development.

One postdoctoral fellow in computational chemistry is available immediately at the Department of Natural Sciences at Baruch College, the City University of New York (CUNY). The initial appointment is 1 year, and could be extended to 3 years upon mutual agreements. You will be primarily contributing to therapeutic peptide design by means of fundamental studies on protein-peptide interactions. A variety of computational approaches will be employed, including but not limited to, atomistic simulations, MARTINI coarse-grained simulations, and machine learning.