Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Carnegie Mellon University
- DAAD
- Technical University of Munich
- University of Luxembourg
- Duke University
- Institute of Nuclear Physics Polish Academy of Sciences
- University of Texas at El Paso
- AALTO UNIVERSITY
- Babes-Bolyai University
- CNRS
- Chalmers University of Technology
- George Mason University
- Swedish University of Agricultural Sciences
- Universitat Autònoma de Barcelona
- University of Massachusetts Medical School
- University of Oslo
- University of Oxford
- Academic Europe
- Auburn University
- Brunel University
- CIC nanoGUNE
- Centro de Astrofisica da Universidade do Porto
- Columbia University
- Cornell University
- FCiências.ID
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Fundació per a la Universitat Oberta de Catalunya
- Grenoble INP - Institute of Engineering
- Harvard University
- Heidelberg University
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Institute of Geography, Slovak Academy of Sciences
- King's College London
- LIP - Laboratório de Instrumentação e Física Experimental de Partículas
- Leibniz
- Luxembourg Institute of Science and Technology
- MASARYK UNIVERSITY
- Masaryk University - Faculty of Arts
- Maynooth University
- NORCE Norwegian Research Centre
- NTNU - Norwegian University of Science and Technology
- Nanyang Technological University
- National Renewable Energy Laboratory NREL
- National University of Singapore
- Pennsylvania State University
- REQUIMTE - Rede de Quimica e Tecnologia
- Technical University of Denmark
- The University of Chicago
- The University of Iowa
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- University of Cambridge
- University of Cambridge;
- University of Essex
- University of Florida
- University of Newcastle
- University of North Texas at Dallas
- University of Texas Rio Grande Valley
- University of Texas at Austin
- Universität Siegen
- Université Grenoble Alpes
- Uppsala universitet
- 53 more »
- « less
-
Field
-
, Computational Science, Physics, Engineering, or a closely related discipline Strong background in differential equations and numerical methods Solid programming skills e.g. Python, C++, Julia or similar Interest
-
(e.g., Python, R, SQL) is an advantage, experience with big data, remote sensing, modelling, or automation of analytical processes is welcome. LanguagesENGLISHLevelGood Research FieldGeographyYears
-
the application. Required qualifications: Solid insights in marine ecology Programming skills in Fortran, Python and R Demonstrated skills in statistical analyses and modelling Capacity to work with complex data
-
, deep learning, and statistical modeling Strong programming skills (e.g., Python, R, TensorFlow/PyTorch) Experience handling large-scale ecological, biological, or remote sensing datasets Strong
-
programming (e.g., Python) and working with Linux/Unix environments. Solid mathematical/statistical skills. Preferred/desired qualifications Experience in applying for ESA projects, Horizon Europe, and similar
-
tools (e.g., Numpy, Pytorch, Tensorflow, ART). You have knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro) You have experience with Python, C/C++, or low-level programming
-
R and/or Python, and used to working with large datasets and reproducible analysis workflows. Has a demonstrated ability to initiate and drive own research ideas, preferably with experience from
-
++ and/or Python Experience with SOFA, FEniCSx or similar simulation frameworks is a strong plus Motivation to work at the crossroads of mechanics, AI and medical technology, in close collaboration with
-
(beyond model training) Solid programming skills (Python required; C++/CUDA a plus depending on simulations) Interest in physics-based simulation, numerical methods, or computational engineering Motivation
-
particle physics phenomenology -programming in C++ and/or Python -fluent knowledge of English language Welcome: experience in Monte Carlo methods and statistical modeling experience in QCD phenomenology