Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- United Kingdom
- Sweden
- Germany
- Portugal
- Netherlands
- Belgium
- Spain
- Switzerland
- Czech
- Italy
- Norway
- Canada
- Denmark
- Finland
- Australia
- Poland
- Austria
- Estonia
- Singapore
- Hong Kong
- Japan
- Luxembourg
- Brazil
- Ireland
- Romania
- United Arab Emirates
- Croatia
- India
- Morocco
- Slovenia
- 22 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Economics
- Engineering
- Mathematics
- Science
- Environment
- Earth Sciences
- Social Sciences
- Materials Science
- Arts and Literature
- Humanities
- Business
- Chemistry
- Linguistics
- Education
- Electrical Engineering
- Law
- Physics
- Psychology
- Sports and Recreation
- 12 more »
- « less
-
methods for forensics, life sciences, topological data analysis, spatial statistics, and computational statistics). The department values an informal atmosphere with strong collegial support, openness, and
-
Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor analysis. Specifically, the project will: Develop novel, modular
-
, and spatial), RNAseq (bulk, single-cell, and spatial), and other multi-omic approaches in collaboration with the appropriate institutional core facilities. In addition, cultures mammalian cell lines
-
experience in the analysis in at least one of the following domains: single cell genomics, WGS, WES, ChIP-seq, ATAC-seq, RNA-seq, spatial transcriptomics/proteomics, machine learning/deep learning models
-
) Development of state-of-the-art database and analysis platforms as part of data science, utilizing diverse datasets related to earthquakes and volcanoes across broad spatial and temporal scales. These datasets
-
to the Institute’s needs. Requirements for candidates: Proven experience in advanced hydrological modeling (e.g., conceptual or physically based spatially distributed models), particularly with SWAT+, SWAT-MODFLOW and
-
the scientific coordination and integration of the project's activities. Responsibilities include: • Data synthesis and integration across spatial and temporal scales, combining experimental, ecological
-
diffraction and pair distribution function analysis, infrared spectroscopy, and µ-Raman spectroscopy. Chemical mapping and phase speciation will be evaluated by fluorescence and X-ray absorption spectroscopy
-
have: Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or related field; with (i). technical skills such as Proficiency in R, Python, or SAS for statistical analysis and modelling; (ii
-
the group's other research projects. The project, funded in part by a grant from the ERC, involves generating and analyzing large datasets of single-cell and spatial transcriptomics data to describe brain tumor