Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- United Kingdom
- Germany
- Sweden
- Portugal
- Netherlands
- Belgium
- Spain
- Switzerland
- Czech
- Norway
- Finland
- Italy
- Canada
- Poland
- Australia
- Denmark
- Austria
- Estonia
- Singapore
- Hong Kong
- Japan
- Luxembourg
- Brazil
- United Arab Emirates
- Ireland
- Romania
- Croatia
- Iceland
- India
- Morocco
- Slovenia
- 23 more »
- « less
-
Program
-
Field
- Biology
- Computer Science
- Medical Sciences
- Economics
- Mathematics
- Engineering
- Science
- Earth Sciences
- Environment
- Social Sciences
- Materials Science
- Arts and Literature
- Humanities
- Business
- Chemistry
- Linguistics
- Education
- Electrical Engineering
- Law
- Physics
- Psychology
- Sports and Recreation
- 12 more »
- « less
-
respond to diverse mechanical cues from their environment, including adhesion, stiffness, tension, shear, pressure, and confinement. These cues are integrated across wide spatial and temporal scales, from
-
expertise in cell culture and mouse studies. As the work involves the analysis of spatial transcriptomic data, basic expertise in computational biology, with experience in R and/or Python will be beneficial
-
, ecology, and conservation and spans a range of activities from exploratory analysis, visualization, and discovery to prediction, validation, quantification of uncertainty, and inference. To thrive in
-
Internal Number: JR91931 Scheduled Hours Empty heading 40 Position Summary Empty heading Performs data management and/or data analysis for investigators using statistical packages. Assists investigators in
-
; GIS software; spatial analysis and visualization; programming in R, Python, or similar; quantitative data collection and analysis; scientific synthesis and writing. Experience partnering with non
-
starts. Preferably, you will also have: Interest in global water issues and earth system modelling; Strong quantitative methodological skills, for instance knowledge of (spatial) data analysis
-
Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
of Computational Biology (ICB) , as part of the Computational Health Center at Helmholtz Munich, is globally recognised for innovations in data analysis and modelling of biological systems and diseases, anchored
-
modelling in transdisciplinary processes in order to examine ecological and socio-spatial change, existing biodiversity governance regimes and develop multispecies ethnographies to better understand
-
areas: GIS software; spatial analysis and visualization; programming in R, Python, or similar; epidemiology; etiology; data communication; systems evaluation; quantitative data collection and analysis
-
fish larvae. Although the importance of drift is well established, many of its underlying dynamics—particularly its spatial and temporal variability—remain poorly quantified. This knowledge gap largely