Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
quantitative skills (analyses of long-term data, modelling and statistical analyses, ideally in the R environment) . Is proficient in English and meets the university’s English language requirements (https
-
excellent communication skills and will to collaborate with researchers from different disciplines. You have proficiency in data analysis and statistical software packages. You have problem solving skills
-
the position Demonstrated expertise in organization and analysis of quantitative datasets and statistical modeling in Stata or R Excellent written, verbal, and interpersonal communication skills
-
international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push
-
interests and strengths. Possible project objectives can include, but are not limited to: -Understanding how ADHD impacts emotion regulation at different stages of the emotion regulation process (e.g
-
, statistical physics, optics, atmospheric physics, university didactics and astro-particle physics. The department is also since 2017 the hosting institution of two national centers of excellence - PoreLab and
-
could include, but are not limited to: -Mapping the alexithymia profiles of different types of mental health disorders (e.g., depression, anxiety, eating disorders, substance use disorders, personality
-
onboarding period that includes specialized courses and hands-on training in AI and machine learning. You'll also have the chance to explore different labs and core facilities, meet fellow researchers, and
-
for health and wellbeing. Successful students will work on projects that aim to make a real difference for affected communities, by investigating challenges including but not limited to aging populations
-
Research Institute (SAHMRI). Working with data from the unique Registry of Senior Australians (ROSA), the candidates will use analytical/statistical methodologies to produce the evidence necessary to improve