Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- ;
- DAAD
- University of Groningen
- Technical University of Denmark
- NTNU - Norwegian University of Science and Technology
- Forschungszentrum Jülich
- Technical University of Munich
- ETH Zurich
- Delft University of Technology (TU Delft)
- SciLifeLab
- NTNU Norwegian University of Science and Technology
- Chalmers University of Technology
- Ghent University
- Leiden University
- Utrecht University
- Aalborg University
- RMIT University
- KU Leuven
- Leibniz
- Umeå University
- University of Nottingham
- Linköping University
- University of Antwerp
- University of Luxembourg
- Wageningen University & Research
- CNRS
- Carnegie Mellon University
- IMT Atlantique
- Karolinska Institutet
- Radboud University
- University of Twente (UT)
- ; The University of Manchester
- ETH Zürich
- Maastricht University (UM)
- University of Tübingen
- ; University of Surrey
- Danmarks Tekniske Universitet
- Empa
- Fraunhofer-Gesellschaft
- Swansea University
- The Ohio State University
- University of Southern Denmark
- Uppsala universitet
- Vrije Universiteit Amsterdam (VU)
- ; University of Leeds
- ; University of Warwick
- Curtin University
- Eindhoven University of Technology (TU/e)
- Inria, the French national research institute for the digital sciences
- Max Planck Institute for Biogeochemistry, Jena
- Swedish University of Agricultural Sciences
- Technical University Of Denmark
- The University of Chicago
- University Medical Centre Groningen (UMCG)
- University of Cambridge
- University of Lund
- University of Oslo
- University of Texas at Austin
- University of Vienna
- ; City St George’s, University of London
- ; Technical University of Denmark
- ; University of Birmingham
- ; University of Exeter
- ; University of Nottingham
- ; University of Sheffield
- AcademicTransfer
- Agency for Management of University and Research Grants (AGAUR)
- Amsterdam UMC
- California Institute of Technology
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Cranfield University
- Deutsches Elektronen-Synchrotron DESY
- Duke University
- Ecole Normale Supérieure
- Erasmus MC (University Medical Center Rotterdam)
- Heidelberg University
- Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ
- IMT Nord Europe
- Instituto de Investigación Biomédica de Salamanca (IBSAL)
- International PhD Programme (IPP) Mainz
- Karolinska Institutet, doctoral positions
- Mälardalen University
- Norwegian University of Life Sciences (NMBU)
- Purdue University
- Queensland University of Technology
- Radix Trading LLC
- Silicon photonics group / Univ Paris Sud
- The University of Iowa
- UiT The Arctic University of Norway
- University of A Coruña
- University of Adelaide
- University of Amsterdam (UvA)
- University of Bergen
- University of Bremen
- University of Chemistry and Technology
- University of Newcastle
- University of Oxford
- University of Southern Queensland
- VIB
- 90 more »
- « less
-
Field
-
Qualities:You are a computer scientist, a computational biologist or a computational chemist with proven expertise in implementing machine learning methods in Python. You write or have written your master's
-
in programming (e.g., Python), data analysis, and machine learning, and a curiosity about applying computational methods to diverse domains such as biology, psychology, and medicine. Candidates
-
problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
-
with molecular biology, scRNAseq/ATACseq, in vivo 2-photon live imaging, and mouse behavior Experience with coding is an asset (e.g., R, Python, MATLAB). Ability to work independently and as part of a
-
, with Life Cycle Assessment, and with programming for data science (R, python) will be considered a strong plus. Proficiency in English is a requirement, knowledge of Danish is an advantage. To apply
-
in computer vision and intelligent transportation. Experience with tools such as MATLAB, Python or machine learning frameworks is highly desirable. Supervisor: Dr Ning Zhao (N.Zhao@bham.ac.uk
-
programming skills (ideally C/C++ and Python/MATLAB or similar), good communication skills, the ability to work independently and a willingness to engage with industrial partners. To apply, please contact
-
with (scientific) programming (Python, R or other languages) Comfortable with mathematics and analytical systems thinking Curiosity and willingness to expand their knowledge in related disciplines Very
-
about the Amazon rainforest and willing to expand her/his knowledge in related disciplines Experience with programming (Python, Julia or other languages) and atmospheric transport modeling is beneficial
-
written and oral. Experience with computational tools commonly used in scientific research (e.g., MATLAB, Python, or similar). Above all, a genuine enthusiasm for science and discovery, particularly in