molecular data integration PostDoc positions and fellowships

The Postdoctoral Research Fellow will join a translational oncology programme at the University of Southampton focused on gastrointestinal cancers, developing experimental models, integrating molecular and functional data, and supporting clinical translation. The role requires a PhD in cancer biology or related discipline, strong experimental oncology background, and skills in assay development, data interpretation, and scientific communication. The fellow will collaborate with clinicians and scientists to shape research strategy and contribute to a platform aimed at bridging laboratory discoveries with clinical decision‑making in cancer therapy.

The Postdoctoral Research Associate will work on developing AI-driven molecular dynamics simulation methods and applying them to drug discovery across multiple disease areas. The role involves algorithm development, data analysis, collaboration with medicinal chemists, manuscript and grant writing, and mentoring junior team members. Candidates should hold a Ph.D. in Chemistry, Computer Science or related fields, with expertise in MD simulation, molecular modeling, and high-performance computing.

Postdoctoral Research Associate at Northeastern University to develop AI-driven molecular dynamics simulations for drug discovery across multiple disease areas. The role involves algorithm development, data analysis, collaboration with medicinal chemists, manuscript and grant writing, and training junior team members, requiring a Ph.D. in Chemistry, Computer Science or related fields and expertise in MD simulation and HPC.

The German Cancer Research Center (DKFZ) in Munich invites applications for a PhD position in Cancer Biology and/or Bioinformatics within the Institute of Molecular Oncology and Functional Genomics. The project focuses on non‑coding RNA biology, genomic technology development, cell fate transitions in development and cancer, molecular mechanisms of cancer metastasis, and computational large‑scale data integration. Candidates will work in a multidisciplinary team of cancer biologists, molecular geneticists, bioinformaticians and clinicians, using CRISPR‑based screens and other cutting‑edge tools to study cancer mechanisms. The position offers a doctoral salary, social benefits, flexible working hours, and access to international research networks through the DKFZ International PhD Program.

A PhD position at the University of Luxembourg focused on developing computational methods for metabolic network modeling integrated with epigenomics, utilizing machine learning and large dataset analysis. The role includes teaching contributions and requires a master's degree in related fields.

The German Cancer Research Center (DKFZ) at its Munich partner site (Institute of Molecular Oncology and Functional Genomics, DKTK) seeks a postdoctoral researcher to investigate the molecular basis of cancer through an integrated approach combining genomics, molecular biology, and computational biology. The project focuses on non‑coding RNA biology, genomic technology development, cell fate transitions in development and cancer, mechanisms of cancer metastasis, and large‑scale data integration. The successful candidate will develop and apply high‑throughput genetic technologies such as CRISPR and transposon tools in cells and mice, generate multi‑dimensional datasets, and work within a multidisciplinary team of cancer biologists, molecular geneticists, bioinformaticians, and clinicians. The position offers TV‑L salary, flexible working hours, 30 days of vacation, and access to state‑of‑the‑art equipment and international networking opportunities.

This postdoctoral scholarship at Karolinska Institutet invites candidates to lead independent research on molecular signatures of vascular cognitive impairment and dementia using proteomic and multi-omics data from cohorts such as Gothenburg H70 and UK Biobank. The role involves data analysis, model development, manuscript preparation, and collaboration within an interdisciplinary team focused on aging and brain health.

The postdoctoral position focuses on studying the evaporation of moderately volatile elements from the early magma ocean using molecular dynamics simulations, including ab initio and machine-learning interatomic potentials, as well as path-integral molecular dynamics to predict isotope fractionation. The project is part of the ERC Advanced Grant DAWN, investigating the evolution of the early Earth atmosphere and interactions between magma oceans, degassing, and prebiotic chemistry. The researcher will perform high-pressure, high-temperature simulations, compute thermodynamic and structural properties of silicate liquids, develop numerical tools, and disseminate results through conferences and publications.

Hangzhou Institute of Medicine, CAS (HIMCAS) offers postdoctoral fellow positions focused on precision medicine and translational research across interdisciplinary centers. Candidates must hold a PhD with strong publication records in biomedicine or related fields. Research spans nucleic acid therapeutics, synthetic biology, AI-driven diagnostics, and drug development, leveraging clinical partnerships with Zhejiang Cancer Hospital. Fellows work within PI-led teams to advance bench-to-bedside innovations, with access to state-of-the-art core facilities and competitive compensation packages negotiable based on expertise.

This PhD position at the St. Anna Children's Cancer Research Institute in Vienna focuses on computational cancer research, leveraging large-scale multimodal datasets such as whole genome sequencing, targeted sequencing, and high-throughput drug sensitivity screens. The successful candidate will develop predictive models, including relapse risk prediction, and conduct independent research bridging biology, data science, and clinical application. The role emphasizes scientific communication, collaboration with biologists and clinicians, and access to state-of-the-art facilities funded by the Austrian Science Fund FWF.