Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
is available from 01 August 2026 or later. You can submit your application via the link under 'how to apply'. Title Aluminum-catalyzed electrochemical ammonia synthesis Research area and project
-
external events Research at MOBILE is primarily interdisciplinary. Therefore, familiarity with or interest in law, political science, sociology, data science, or related fields is an advantage. Work
-
unique large-scale longitudinal data on artists and academic scholars, the project applies methods from applied econometrics and economic demography to analyze creative productivity, originality, and
-
to multi-task learning for multi-cancer risk prediction. To develop these models, you will have access to unique biobank data containing genetic information linked to Danish registry data for approximately
-
-of-the-art methodology in endogenous protein editing and tagging by CRISPR and integrase strategies. Training in state-of-the-art technologies and data analysis as well as research management, oral and written
-
, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer
-
, the projects combine classical microbiology, microbial physiology, experimental evolution, and omics-based approaches to link microbial interactions and system performance across spatial and functional scales
-
on modelling the effects of small insertion and deletions. The candidate will also help with data management tasks for the database of variants effect that we are maintaining at DTU. We are looking for a
-
now” link, fill out the form and attach your motivated application, CV and exam certificates. If you would like additional information about the position, please contact COO, Mads Bager Hoffmann
-
Job Description Are you passionate about data science and X-ray experiments? If so, this position might be perfect for you. We are seeking a data scientist to advance our analysis of complex data