Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Economics
- Engineering
- Mathematics
- Science
- Earth Sciences
- Environment
- Social Sciences
- Arts and Literature
- Materials Science
- Humanities
- Chemistry
- Education
- Linguistics
- Sports and Recreation
- Business
- Electrical Engineering
- Law
- Physics
- Psychology
- 12 more »
- « less
-
the Experiment grant. The candidate must have: A PhD degree in a relevant field (e.g. Molecular Biology, Neuroscience). A proven track record either in spatial transcriptomics or extracellular vesicle biology. The
-
areas*; 2. Technical Skills - Experience in processing 3D point clouds (LiDAR or photogrammetry); Knowledge of GIS, remote sensing, or spatial analysis; 3. Research Experience (Preferred) — Previous
-
Results: Ability to assess the influence of the engine plume on the release of emissions into different atmospheric layers. Numerical model to describe the temporal and spatial dispersion behaviour
-
. Where to apply Website https://www.academiceurope.com/ads/phd-position-m-f-d-computational-biology-sin… Requirements Research FieldBiological sciences » OtherEducation LevelMaster Degree or equivalent
-
at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
-
: https://ki.se/en/cmb/enric-llorens-group Duties We are seeking a talented and enthusiastic postdoctoral fellow to apply cutting-edge single-cell and spatial genomics approaches in combination with
-
/resources/industrial-iot-lab ) and residential environments (https://idlab.ugent.be/resources/homelab ). Experimental validation can be backed by modelling or theoretical assessments. You collaborate with
-
are eager to carry out research on statistical issues related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools
-
in person in São Paulo and involves single-cell and spatial transcriptomics analysis, integration of multi-disease datasets, investigation of cell–cell communication, and the development
-
of multi-modal Foundation Models that integrate single-cell omics with spatiotemporal information. The second position will address the development of a virtual tissue model, exploiting spatial