Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- Texas A&M University
- CNRS
- Aalborg University
- Argonne
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stanford University
- Technical University of Denmark
- Technical University of Munich
- University of North Carolina at Chapel Hill
- University of Oxford
- AALTO UNIVERSITY
- Carnegie Mellon University
- Princeton University
- Delft University of Technology (TU Delft)
- KINGS COLLEGE LONDON
- Northeastern University
- University of Amsterdam (UvA)
- University of Luxembourg
- University of Washington
- Duke University
- Inria, the French national research institute for the digital sciences
- University of Florida
- University of Oxford;
- University of Sydney
- Brookhaven Lab
- Brookhaven National Laboratory
- Empa
- Medical College of Wisconsin
- UNIVERSITY OF VIENNA
- University of Connecticut
- University of Maine
- University of Minnesota
- Virginia Tech
- Aarhus University
- Chalmers University of Technology
- Chalmers tekniska högskola
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- ETH Zürich
- Forschungszentrum Jülich
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- KTH Royal Institute of Technology
- King's College London
- Lunds universitet
- SciLifeLab
- Stony Brook University
- The University of North Carolina at Chapel Hill
- University of Amsterdam (UvA); Published today
- University of Bergen
- University of California Berkeley
- University of Nevada, Reno
- University of Oregon
- University of Oslo
- University of Southern Denmark
- University of Twente (UT)
- chalmers tekniska högskola
- ;
- AI4I
- Aalborg Universitet
- Academia Sinica
- Aix-Marseille University
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Argonne National Laboratory
- Bar Ilan University
- Boston University
- Case Western Reserve University
- Computer Vision Center
- Consortium Virome@tlas
- Delft University of Technology (TU Delft); Published yesterday
- Durham University
- ERATOSTHENES CENTRE OF EXCELLENCE
- Eindhoven University of Technology (TU/e)
- Emory University
- European Space Agency
- Foundation for Research and Technology-Hellas
- Fred Hutchinson Cancer Center
- Free University of Berlin
- Heriot Watt University
- Human Technopole
- INSA Strasbourg
- INSERM U1183
- Institut de Físiques d'Altes Energies (IFAE)
- Institute for bioengineering of Catalonia, IBEC
- Institute of Theoretical Physics
- Johns Hopkins University
- Karolinska Institutet
- Karolinska Institutet (KI)
- Leibniz
- Linköping University
- Linköping university
- Linköpings University
- Loyola University
- Luxembourg Institute of Health
- Maastricht University (UM)
- Maastricht University (UM); yesterday published
- Massachusetts Institute of Technology
- Max Planck Institute for Physics, Garching
- 90 more »
- « less
-
Field
-
in cutting-edge techniques, from detector R&D to advanced data analysis and machine learning. Attendance to international collaboration meetings, schools and workshops. Development of transferable
-
Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
Qualifications PhD in machine learning, computer vision or a related field. Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image
-
biomedical image processing. Within the scope of machine learning and computer vision, there will be freedom to suggest your own research directions, and to become acquainted with new techniques and approaches
-
computational biology/chemistry, machine-learning for biological or chemical data, and drug discovery/design. Mentorship is taken seriously and every effort will be made to ensure the candidate is able to achieve
-
applied mathematics, physics, computer sciences or social sciences with outstanding skills in quantitative methods ; - Provable experience working with social media data, specially very large datasets (we
-
dynamical systems), epidemiological modelling, data analysis (statistics, machine learning). • in scientific programming (preferably Python, Matlab, R) Genuine interest in the analysis and modeling
-
field of civil and commercial law) Very good written and spoken German Very good written and spoken English Excellent computer skills (MS-Office) Experience in working with databases High level of written
-
or more of the following: software package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal
-
, engineering, or a related field. Strong programming skills and experience in machine learning or statistical modelling are essential. Experience with healthcare data, algorithmic fairness, or deep learning
-
: What are efficient machine learning strategies to identify large ensembles of nanoparticles in tomograms (i.e., to identify nanoparticles on irregular 2D surfaces in 3D space)? What are appropriate