Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- United Kingdom
- Germany
- Sweden
- Netherlands
- Belgium
- Portugal
- Norway
- Spain
- Australia
- Czech
- Italy
- Switzerland
- Denmark
- Poland
- Canada
- Finland
- Hong Kong
- United Arab Emirates
- Austria
- Estonia
- Singapore
- Ireland
- Luxembourg
- Japan
- Brazil
- India
- Morocco
- Romania
- Croatia
- Iceland
- Lithuania
- Slovakia
- Slovenia
- Taiwan
- 26 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Economics
- Science
- Engineering
- Mathematics
- Social Sciences
- Earth Sciences
- Environment
- Arts and Literature
- Materials Science
- Humanities
- Chemistry
- Business
- Linguistics
- Education
- Design
- Electrical Engineering
- Psychology
- Physics
- Sports and Recreation
- Law
- 13 more »
- « less
-
Professor (25260446) Responsibilities: The Department is recruiting one scholar at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics
-
immunohistochemistry and in situ hybridization studies. They will also be involved in working on digital spatial profiling of human issues and applying analytical frameworks, The final salary and offer components
-
of Bioinformatics. • Experience in Genomic studies. Functions • Multi-omics data analysis. • Single-cell data analysis. • Spatial biology data analysis. Predoctoral contract. • Reference: PREP2024-002764 • Annual
-
includes research encompassing experimental and theoretical approaches at a wide variety of temporal and spatial scales, i.e. from molecules and microorganisms to patterns and processes occurring
-
broad outlook in geography, in the application of theoretical and methodological approaches of natural and social sciences to understand socio-spatial changes in designing integrative solutions to complex
-
tissue with high spatial precision. This PhD project focuses on the development of surgical micro-robotic devices, with emphasis on micro- and nano-fabrication and optical technologies for sensing
-
Your Job: In the CrowdING project, you will analyze experimental data from large crowds and develop quantitative measures to describe their spatial structure. To do this, you will use and expand
-
catalyst for many past successes: https://europepmc.org/article/MED/35021063 , https://europepmc.org/article/MED/31819264 , https://europepmc.org/article/MED/31561945 , https://europepmc.org/article/MED
-
. In addition to furthering systematic thinking by separating problem formulation from solution concepts, integrating models from different disciplines, operating at different time/spatial scales
-
crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners