Sort by
Refine Your Search
-
Listed
-
Employer
- University of Groningen
- Radboud University
- University of Amsterdam (UvA)
- AcademicTransfer
- University of Twente
- Amsterdam UMC
- CWI
- European Space Agency
- Maastricht University (UM)
- Nature Careers
- Universiteit van Amsterdam
- Utrecht University
- Wageningen University & Research
- Wageningen University and Research Center
- 4 more »
- « less
-
Field
-
of making in ancient Roman visual culture (e.g. depictions of craftsmen at work, mythical scenes of making, or depictions of making in sacred or military contexts). They will take into account (where
-
analyzing textual and visual content with supervised machine learning. Conducting focus groups with social media users to understand how this content may shape beliefs and attitudes about AOMs, a healthy diet
-
programming skills in Python (experience with MATLAB or R is a plus). Proven experience with deep learning and machine learning frameworks (e.g., TensorFlow, PyTorch). Background in computational modeling
-
the Molecular and Materials design program (MMD Hub ) of the Faculty of Science at UvA. What are you going to do? The aim of the project is to use advanced Machine Learning techniques to predict the anharmonic
-
with strong expertise in one of these categories: solid-state NMR; Quadrupolar solid-state NMR; Automated NMR analysis & machine learning; Lipid biochemistry (and chromatography knowledge in general
-
bioinformatics and proteomics approaches. You will analyze bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI
-
; Demonstrated interest in research on the intersection of society and AI, preferably as it relates to forms of algorithmic bias; Experience with machine learning or computational modeling; Strong quantitative
-
sciences, or a related field. You have a strong background in quantitative research methods, including statistical modelling, data analysis, machine learning, and/or GIS analysis. You have proven expertise
-
will collaborate with the various members of the Building on Digital Identity project (including computer scientists, programmers, UX researchers and designers). On the legal side, Professor Pieter
-
for the analysis and integration of –omics data. The group has a strong track record in (integrative) computational omics analysis, algorithm development, machine learning and scientific data infrastructure