Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Stony Brook University
- Oak Ridge National Laboratory
- Argonne
- Pennsylvania State University
- Zintellect
- King's College London
- University of Oxford
- University of Washington
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Carnegie Mellon University
- Stanford University
- Yale University
- Cornell University
- Technical University of Munich
- UNIVERSITY OF SYDNEY
- University of Oxford;
- Villanova University
- AALTO UNIVERSITY
- CNRS
- Duke University
- Iowa State University
- Michigan Technological University
- Northeastern University
- Texas A&M AgriLife
- UNIVERSITY OF HELSINKI
- University of California, Merced
- University of Florida
- University of Sydney
- DURHAM UNIVERSITY
- Helmholtz Association of German Research Centres
- Massachusetts Institute of Technology
- Princeton University
- RIKEN
- Rutgers University
- SUNY University at Buffalo
- Texas A&M University
- Universidade de Coimbra
- University of California
- University of Liverpool
- University of Southern California
- Virginia Tech
- Aalborg University
- Durham University
- Indiana University
- International Iberian Nanotechnology Laboratory (INL)
- KU LEUVEN
- Lehigh University
- SciLifeLab
- Singapore-MIT Alliance for Research and Technology
- The University of Arizona
- Umeå University
- University of Luxembourg
- University of North Carolina at Chapel Hill
- University of North Texas at Dallas
- University of Texas at Dallas
- Vrije Universiteit Brussel
- Brookhaven National Laboratory
- EPFL
- Empa
- Forschungszentrum Jülich
- GFZ Helmholtz-Zentrum für Geoforschung
- Institute of Physical Chemistry, Polish Academy of Sciences
- Nicolaus Copernicus Astronomical Center
- Queen Mary University of London
- Swedish University of Agricultural Sciences
- Syracuse University
- Texas A&m Engineering
- The University of Edinburgh;
- Umeå universitet stipendiemodul
- University of Miami
- University of Texas at Arlington
- Université de Caen Normandie
- Utrecht University
- Vanderbilt University
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- jobs.ac.uk
- APCTP
- Aarhus University
- Argonne National Laboratory
- Arizona State University
- Biophysical and Biomedical Measurement Group, National Institute of Standards and Technology
- Blekinge Institute of Technology
- Boston University
- California State University
- Deutsches Elektronen-Synchrotron DESY
- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- ELTE Research Centre for the Humanities
- EPFL SV BMI UPRAMDYA
- ETH Zürich
- Embry-Riddle Aeronautical University
- European Magnetism Association EMA
- European University Institute
- FUNDACIÓ ESADE - UNIVERSITAT RAMON LLULL
- Florida Gulf Coast University
- Great Bay University
- Harvard University
- Heidelberg University
- Helmholtz-Zentrum Hereon
- Heriot Watt University
- Högskolan i Skövde
- 90 more »
- « less
-
Field
-
postdoctoral researcher will develop and apply advanced simulation techniques, and data-driven approaches to explore complex biophysical phenomena at the cell membrane. This role provides a platform for
-
. Responsibilities include designing and executing laboratory, simulation, and field-based research, contributing to technical publications and grant proposals, collaborating with multidisciplinary research teams
-
Responsibilities The incoming postdoctoral researcher will lead or contribute to key research activities within the LU-PCG, advancing control theory, machine learning algorithms, and integrated simulation workflows
-
numerical simulations to understand molecular mechanisms of epigenetic regulation by the Polycomb and Trithorax group proteins. Project description Chromosomal rearrangements of the human MLL1 gene
-
techniques (e.g. mammalian cell culture, transfection, western blotting) Knowledge of RNA-binding proteins and protein aggregation Downloading a copy of our Job Description Full details of the role and the
-
intelligence, and genetic simulations to support breeding decisions across diverse crop improvement programmes in the Global South. Working with large-scale phenotypic, genomic, environmental and grower survey
-
05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and
-
infrastructure to capture and curate both experimental and simulation data and collaboratively build machine learning models to predict behavior of novel materials for memristor applications. This is an
-
, aims to design, develop, and validate an AI-powered digital twin model addressing key challenges in Health Research. It is a digital copy of the human body trained to identify missing scientific concepts
-
analyze the results of testing and simulations. Metrics for success will include scientific output, disseminating results at national and international conferences and other technical meetings, and