Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Centre for Genomic Regulation
- DAAD
- FCiências.ID
- Faculdade de Medicina da Universidade do Porto
- Institut Pasteur
- Leibniz
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- NOVA Information Management School (NOVA IMS)
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Newcastle University
- St. Anna Children's Cancer Research Institute (St. Anna CCRI)
- St. Anna Kinderkrebsforschung e.V.
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
- Universidade de Coimbra
- University of Adelaide
- University of Antwerp
- University of New Hampshire
- University of Tübingen
- Vrije Universiteit Amsterdam (VU)
- 12 more »
- « less
-
Field
-
14 Nov 2025 Job Information Organisation/Company NOVA Information Management School (NOVA IMS) Department Recursos Humanos Research Field Information science » Information management Researcher
-
of Medical Genetics, in collaboration with Qurin PCR B.V. (Leiden, Netherlands), is looking for a full-time, skilled and motivated Ph.D. student to join our dynamic team. We are offering an exciting
-
, such as whole genome sequencing, single-cell sequencing and cell barcoding, using established workflows, new methods and your own algorithms. Through this, you will identify the genetic and phenotypic
-
, such as whole genome sequencing, single-cell sequencing and cell barcoding, using established workflows, new methods and your own algorithms. Through this, you will identify the genetic and phenotypic
-
Framework Programme? Horizon Europe Reference Number #5105; FCiências.ID/2025/DL57/ LASIGE/2 Is the Job related to staff position within a Research Infrastructure? No Offer Description #5105 Public Notice
-
for. GUIGÓ LAB Transcription Regulation | Syntactic and Semantic Patterns in the Genome Sequence | Computational Biology | Our Research Our lab is interested in understanding the genetic and epigenetic factors
-
. An optimisation tool has been developed that uses a genetic algorithm to optimise the location of BGI taking surface water flood risk reduction and the cost of different interventions into consideration. This PhD
-
observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control
-
genetics. With guidance and supervision from both experimental and computational perspectives, this program is ideal for graduates in fields such as molecular biology, biochemistry, mathematics
-
the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a development. In the frame of a