67 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at Nature Careers in Denmark
Sort by
Refine Your Search
-
. Application deadline The application deadline is January 31, 2026, at 23.59 hrs. CET. Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/3485
-
@health.sdu.dk ; phone: +45 2498 4101). Application deadline The application deadline is January 25, 2026, at 23.59 hrs. CET. Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI
-
of personal background. Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/3538
-
. The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. Apply online https://fa-eosd-saasfaprod1
-
5-year undergraduate nanotechnology programme and nanoscience graduate programme (https://phd.nat.au.dk/programmes/nanoscience/) the center provides a full educational environment. In
-
application of magnetically enhanced electrocatalysis for water splitting and CO2 reduction (see e.g. https://doi.org/10.1038/s41560-019-0404-4). Your main tasks may include Application of new materials and
-
personality. The Department of Biology The Department of Biology (http://bio.au.dk/ ) provides a framework for research and teaching in all major biological subdisciplines. The department is especially known
-
qualifications include: Ph.D. in Computer Science, Computer Engineering, Electrical Engineering or a related field; Strong background in Deep Learning (e.g., Transformers, foundation models); Strong programming
-
will develop atomistic models and machine-learning potentials to interpret experimental data and predict catalytic performance. The tasks can include Advancing equivariant neural network potentials
-
analysis to translate THz signals into optical material properties such as refractive index and absorption coefficient. Development of machine learning algorithms for material classification. Exploration