501 linked-data-"https:"-"https:"-"https:"-"Bath-Spa-University" positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
, epidemiologists, clinicians and chemical analysts to identify links between environmental toxicants/pesticides and Parkinson’s Disease. You will as part of the consortium further gain unique access to meetings 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
-
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
-
-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
-
structures. You will work closely with computational researchers to gather data, evaluate AI predictions, and design experiments. You will work in a team with 7 PhD-students and 4 postdoctoral researchers and
-
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
-
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
-
and to link outputs from meteorological macroscale models to microscale load effects on buildings and structures. The model will be used to simulate a wide range of weather conditions – from severe
-
, 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