Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- Nature Careers
- Susquehanna International Group
- AALTO UNIVERSITY
- Technical University of Munich
- UNIVERSITY OF HELSINKI
- University of Newcastle
- CNRS
- Carnegie Mellon University
- Cracow University of Technology
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- KINGS COLLEGE LONDON
- McGill University
- Purdue University
- Radix Trading LLC
- Temple University
- ; University of Cambridge
- Aalborg University
- Brookhaven Lab
- CSIRO
- DAAD
- Drexel University
- Duke University
- IMEC
- Imperial College London
- Leibniz
- REQUIMTE - Rede de Quimica e Tecnologia
- SINTEF
- The University of Chicago
- The University of Iowa
- UNIVERSIDAD POLITECNICA DE MADRID
- University of Alabama at Birmingham
- University of Antwerp
- University of Cambridge
- University of Central Florida
- University of Groningen
- University of Liverpool
- University of Luxembourg
- University of Minnesota
- University of Minnesota Twin Cities
- University of Oxford
- University of Texas at Austin
- Wageningen University and Research Center
- 33 more »
- « less
-
Field
-
. Proven experience (>4 years) in energy systems storage modelling or energy optimization. Experience in scientific writing (papers, conference proceedings). Proficiency in Python or similar programming
-
scientific computing. You are proficient in several languages (Python, C/C++, or Fortran), with extensive knowledge in AI/ML and parallel programming (GPU, multi-threading, etc.). You have strong software
-
development using Python and/or other programming languages, as well as executing organic (multistep) reactions in the laboratory. We are looking for an applicant with: A Master's degree in chemistry, chemical
-
skills (Python preferred). Familiarity with ML/Data Science frameworks: PyTorch, JAX, Hydra, MLflow, Pandas (or similar). Additional qualifications Experience with project management, planning and
-
: Essential criteria MSc. in Neuroscience, Physics, Computer Science, or a related field Strong background in computational neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and
-
-scale job ads datasets, spatial datasets, patents). Conduct data analysis using econometric and statistical tools. Excellent knowledge of R is expected. Good knowledge of Python, experience with modern
-
archaeological finds. Conducting geospatial analyses in GIS, including work with LiDAR data, aerial imagery, and other remote sensing data. Developing a webGIS platform to host field-collected data, legacy
-
proficiency in relevant programming languages (e.g., Python, C++) and tools such as ROS. Experience in simulation and digital twins, as well as the use of synthetic data for training machine learning models, is
-
/Python).Further information can be found at:https://www.findaphd.com/phds/project/?p185925If you are interested in this opportunity and would like to know more about it, please contact me via email at
-
of statistics and quantitative data analysis, hands-on experience with R or Python strong interest in prototyping commitment to and interest in the design and implementation of Open Science/Open Source practices