Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Field
-
the European Regional Development Fund (FEDER), under the Innovation and Digital Transition Program | Compete 2030, following conditions: Scientific Area: Electronic Engineering Recipient category: Students
-
European Regional Development Fund (FEDER) and national funds, through Fundação para a Ciência e Tecnologia (FCT), through the Innovation and Digital Transition Programme | Compete2030, under the following
-
Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 6 days ago
the framework of the Program “Scientific Research and Technological Development Projects (IC&DT)”, in the context of “Exploratory Research Projects (PEX)”, under the following conditions: Scientific Area: Health
-
here: https://www.ncl.ac.uk/medical-sciences/ Find out more about our Research Institutes here: https://www.ncl.ac.uk/medical-sciences/research/institutes/ As part of our commitment to career development
-
opportunities for development for our research community. To find out more about the opportunities available, please see here: NIHR Applied Research Collaboration (ARC) North East and North Cumbria - 2026 to 2031
-
to the call for applications with reference “Biochar4@II - Lic1_DCT”, published on the EURAXESS platform. Where it reads: “COMPETE 2030-FEDER-01471600 / No. 1839” It should read: “COMPETE 2030-FEDER-01471600
-
potential therapeutic targets and biomarkers. An ambitious technological development in the team focuses on single cell proteomics analysis to access tumor heterogeneity in patient-derived organoids and
-
to apply analytical and writing skills to studies in development, spatial, and environmental economics. LISER particularly encourage female applicants to apply What we offer A dynamic and international
-
or related fields. Experience in research or relevant activities in the project area, such as data analysis, statistical modelling, or software development. Good knowledge of statistical programming
-
of Bioinformatics, databases and data modelling, Artificial Intelligence and/ or natural language processing; Previous experience in the development of software, preferably in the Python language. Workplan and