Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
for cellular proliferation and the faithful transmission of genetic information to daughter cells. However, replication forks are constantly challenged by a wide range of intrinsic and extrinsic stressors
-
collaborative, analytical mindset and the ability to synthesize complex information across experimental and theoretical domains. Interest in how ML/AI driven data science can accelerate discovery in materials
-
at universities (only in Danish). Where to apply Website https://aau.varbi.com/en/what:job/jobID:893275/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers
-
or women’s health. The applicant must be fluent in English (written and spoken) and have experience with large-scale health data and epidemiological or related analytical approaches and methodology. Experience
-
behavioral data and present results at conferences and in journal publications. This project is theoretically and technically sophisticated and a candidate with strong analytic and quantitative skills
-
optimizing color selection for attentional purposes. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret EEG and behavioral data and present results
-
here . Further information Further information may be obtained from Carlos Acevedo-Rocha: cargac@biosustain.dtu.dk Google Scholar profile: https://scholar.google.com/citations?hl=en&user=yZDS88IAAAAJ
-
proliferation and the faithful transmission of genetic information to daughter cells. However, replication forks are constantly challenged by a wide range of intrinsic and extrinsic stressors, including metabolic
-
at DTU here . Further information Further information may be obtained from Carlos Acevedo-Rocha: cargac@biosustain.dtu.dk Google Scholar profile: https://scholar.google.com/citations?hl=en&user
-
in Python for scientific data analysis Strong analytical abilities and capacity to work collaboratively in a multidisciplinary team A PhD degree (or equivalent) in chemistry, materials science, physics