Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- Forschungszentrum Jülich
- Technical University of Munich
- DAAD
- Leibniz
- Leiden University
- NTNU - Norwegian University of Science and Technology
- Susquehanna International Group
- University of Groningen
- Ghent University
- CNRS
- ;
- University of Nottingham
- VIB
- ; City St George’s, University of London
- KU LEUVEN
- Leiden University; Leiden
- Radboud University
- Umeå University
- University of Luxembourg
- ; The University of Edinburgh
- Chalmers University of Technology
- Delft University of Technology (TU Delft); Delft
- Linköping University
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Antwerp
- University of Southern Queensland
- University of Twente (UT)
- Uppsala universitet
- Wageningen University and Research Center
- AALTO UNIVERSITY
- Curtin University
- Duke University
- Eindhoven University of Technology (TU/e)
- Empa
- FUNDACION DE INVESTIGACION BIOMEDICA HOSPITAL 12 DE OCTUBRE
- Heidelberg University
- Maastricht University (UM)
- NTNU Norwegian University of Science and Technology
- RWTH Aachen University
- Technical University Of Denmark
- UNIVERSITY OF HELSINKI
- University of Adelaide
- University of Bergen
- University of Newcastle
- University of Southern Denmark
- University of Vienna
- Wageningen University & Research
- ; Swansea University
- ; University of Nottingham
- ; University of Sheffield
- AMOLF
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Aristotle University of Thessaloniki
- CWI
- Carnegie Mellon University
- Cracow University of Technology
- Cranfield University
- Delft University of Technology (TU Delft)
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- GFZ Helmholtz Centre for Geosciences
- Graz University of Technology
- IRTA
- KINGS COLLEGE LONDON
- Maastricht University (UM); Maastricht
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- McGill University
- National Research Council Canada
- Norwegian University of Life Sciences (NMBU)
- Paul Scherrer Institut Villigen
- Radix Trading LLC
- Roma Tre University
- SciLifeLab
- Swedish University of Agricultural Sciences
- THE UNIVERSITY OF HONG KONG
- The University of Edinburgh
- The University of Manchester;
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF VIENNA
- Umeå universitet
- University of Florida
- University of Oslo
- University of Oxford
- Université Libre de Bruxelles (ULB)
- Utrecht University
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- ; Coventry University Group
- ; Technical University of Denmark
- ; The University of Manchester
- ; University of Cambridge
- ; University of East London
- ; University of Oxford
- Aalborg University
- Agencia Estatal Consejo Superior de Investigaciones Científicas
- Agency for Management of University and Research Grants (AGAUR)
- Agricultural university - Plovdiv, Bulgaria
- Austrian Academy of Sciences, The Human Resource Department
- 90 more »
- « less
-
Field
-
modeling is advantageous Good programming skills (e.g., Python) High degree of independence and willingness to show great commitment Very reliable and conscientious work style Fluent written and spoken
-
proficient in ROS/ROS2, Python and/or C++/C# Knowledge and/or experience within one or more of the fields of acoustic sensing, hydrodynamics, and machine learning is a plus. You have strong communication
-
devices Knowledge of Python programming Good knowledge of materials technology, and basic knowledge of environmental assessment of materials Good written and oral English skills PLEASE NOTE: For detailed
-
areas: Scientific programming using Python Data analytics and machine learning techniques Wind energy systems, operations, or related topics In addition, you should be able to work efficiently as part of
-
engineering, computer science, physics engineering, or equivalent) Programming skills in Python or another language Strong work ethic Fluency in English, with the ability to write, communicate, and interact in
-
, ideally in Python, with demonstrated experience in applying them in complex research or development projects Basic knowledge in Machine Learning, ideally supported by initial hands-on experience Experience
-
monitoring. Familiarity with tools such as Python, MATLAB, or embedded C would be advantageous. Most importantly, this project is ideal for applicants who are motivated to tackle real-world reliability
-
, Computational Biophysics, or a closely related field Strong programming skills (e.g., Python, C/C++) Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) Very good English language skills, ability
-
of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization
-
, immunology, high dimensional omics analysis, or mass spectrometry. • Strong data analysis skills using R, Python, or equivalent. • Excellent verbal and written communication skills. • Ability to work both