The role requires a PhD in computational structural biology and have an advanced understanding and practical experience with developing and applying AI-based protein design algorithms to design novel antigens, such as epitope scaffolds, chimera antigens, and nanoparticles.

You are a dynamic Computational Scientist who will work with other scientists to apply cutting-edge computation, Machine Learning/Deep Learning approaches to revolutionize our large molecule computational tools by contributing to accelerating and improving the process of design and engineering of novel biologics drug candidates.

As a mRNA Computational Biologist you will collaborate with scientific and technical experts within the mRNA Center of Excellence, bringing practical knowledge and experience in applying bioinformatics, statistical and computational methods to preclinical and translational research data to identify predictive biomarkers, characterize mechanism of action and develop predictive models for mRNA vaccines and therapeutics.

Applications are invited for appointment as Tenure-Track Professor/Associate Professor/Assistant Professorin the broad area of Computational Molecular Biology in the Molecular and Cell Biology cluster School of Biological Sciences The University of Hong Kong (Ref.:530459) to commence as soon as possible on a three-year fixed-term basis with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract.

Novo Nordisk Foundation Center for Basic Metabolic Research University of Copenhagen We are looking to hire a highly motivated and dynamic Researcher with extensive expertise in genetic epidemiology biostatistics statistical genetics and/or machine learning to work on projects related to precision cardiovascular medicine in the Loos and Merino Groups.The position is a 3-year position starting March 1 2025 or after agreement.

We have two positions each as either a three-year PhD or a three-year postdoc available in the Gorodkin lab ( https://ivh.ku.dk/bioinformatics ) Center for non-coding RNA in Technology and Health (RTH) ( http://rth.dk ) at Department of Veterinary and Animal Sciences ( https://ivh.ku.dk/english ) Faculty of Health and Medical Sciences at University of Copenhagen.The projects concern safety when siRNAs and small peptides are applied as pesticides in plants and the aim is to develop the computational tools and analyses that will contribute to an environmental risk assessment framework for new bio-based plant protection products (PPPs).

Requisition Id14070 Overview: We are seeking a Postoctoral Researcher to work with Professor Jeremy C Smith along with a team of scientists modeling chemical and biophysical phenomena with deep learning assisted simulation methods.This position will perform modeling and simulation of biological systems in the Center for Molecular Biophysics along with chemical systems for projects within neutron and chemical sciences at Oak Ridge National Laboratory.

Applications are invited for appointment as Tenure-Track Professor/Associate Professor/Assistant Professorin the broad area of Computational Molecular Biology in the Molecular and Cell Biology cluster School of Biological Sciences The University of Hong Kong (Ref.:530459) to commence as soon as possible on a three-year fixed-term basis with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract.

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 looking for an investigator who is using or developing bioinformatics and computational approaches to study areas of biomedical sciences that intersect with fundamental processes in biology such as (but not limited to) evolutionary genomics, molecular epidemiology, molecular microbiology and pathogen biology, systems biology, and emerging omics.

An ideal candidate should have Ph.D (or equivalent) training in statistics, machine learning, algorithmic development and computational biology as well as detail understanding of molecular biology and genetics. Prior experience in processing and managing high-throughput sequencing data is desired.

You must have a PhD degree or graduating soon with knowledge in one or more of electronic structure methods, MD simulations, coarse-graining or computational rheology.

GC Therapeutics is seeking a talented and highly motivated Scientist/Senior Scientist for our Genomics team. The candidate will have strong expertise in the analysis and interpretation of genomic assays for R&D and product development/release. The candidate will be responsible for determining the safety and efficiency of the company’s cell products using genomic assays such as whole-genome sequencing, cancer panels etc. The job requires innovative problem solving in all parts of the process from sequencing, variant calling, determining release criteria and establishing safety profiles. Additional experience in analyzing (single-cell) transcriptomic data is desired but not essential. Reporting to the lead of the Genomics team, this individual will apply these assays to develop novel cell therapies derived from human induced pluripotent stem cells (iPSCs) for regenerative and cell-based therapies. This role will involve bringing a new class of cellular therapies to patients using GCTx’s TFome™ platform, a synthetic biology-driven technology to differentiate human stem cells.

The QSU is seeking a highly motivated, hard-working and professional computational biology data scientist to extend our team of collaboration with clinical, immunological and bioinformatical researchers.

Cold Spring Harbor Laboratory is looking for outstanding candidates to fill postdoctoral positions in theoretical neuroscience. The position is open under specific projects as well as general research involving the application of methods from theoretical physics, mathematics, and machine learning with the goal to understand the brain function.

We are looking for outstanding candidates for computational postdoctoral positions broadly interested in using machine learning, computational neuroscience and computational biology. The position is open under specific projects as well as general research involving the applications of methods from machine learning, computer vision and computational neuroscience with the goal to understand the complex system such as neural networks, brain functions, or molecular shapes.

The Computational Biology Group at the Pacific Northwest National Laboratory (PNNL) is excited to invite applications for a Computational Biology Technician/Technologist 4. This is a unique opportunity to immerse yourself in pioneering research at the intersection of machine learning, computational chemistry, and multi-omics data analysis. Successful candidates will contribute to development of new computational software and tools, and apply existing tools to team-directed lines of inquiry, supporting multiple application areas in biology.

Job Description We are seeking highly motivated and collaborative research fellow with demonstrated skills in environmental engineering microbiome and bioinformatics.The positions involve developing novel biotechnologies for nutrients removal and pollutants detoxification in bioreactors engineered systems waterbodies and the environment in particular cultivation and characterization of functional microbes predictive understanding of microbiome dynamics and functioning in engineering systems such as bioreactors.

We have two positions each as either a three-year PhD or a three-year postdoc available in the Gorodkin lab ( https://ivh.ku.dk/bioinformatics ) Center for non-coding RNA in Technology and Health (RTH) ( http://rth.dk ) at Department of Veterinary and Animal Sciences ( https://ivh.ku.dk/english ) Faculty of Health and Medical Sciences at University of Copenhagen.The projects concern safety when siRNAs and small peptides are applied as pesticides in plants and the aim is to develop the computational tools and analyses that will contribute to an environmental risk assessment framework for new bio-based plant protection products (PPPs).

Department of Plant and Environmental Science Section for Plant Biochemistry invites applicants for several postdoctoral positions within the topics of using computational biology and artificial intelligence to understand gene function in plants.The aim is to use recent advances in machine learning large language models and the generation of high-throughput data to gain new insights into how plant genes function and are regulated spatiotemporally.