Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
2026. Responsibilities: Use genomics and/or bioinformatics to address ecological/evolutionary questions. Research focus to complement that of existing faculty, enabling collaboration and mentoring
-
Optics system. The primary science goals for GMTNIRS are the characterization of exoplanet atmospheres and stellar astrophysics at all evolutionary stages. The applicant would join the project in the final
-
Coastal/Marine Biology, Ecology/Evolutionary Biology or Microbiology/Molecular Biology. Faculty in the Department have access to riverine, estuarine, and oceanic habitats, including the William C. Webb
-
recruitment process, can be found at https://accedtp.ac.uk/, in the ‘prospective applicants’ tab. Project overview Are you interested in a PhD working on biodiversity and ecosystem service impacts
-
(perception, learning, planning) on physical robots. • Use evolutionary algorithms to optimize both the robot’s body and brain together. • Apply quality-diversity methods to discover a wide range of high
-
&M University is responsible for research and teaching within the vast disciplines of the biological sciences, from molecular cell biology to ecology and evolutionary biology. Our faculty perform
-
contributes expertise in marine ecology, molecular biology, and evolutionary biology. FAVS brings strengths in fish and shellfish biology, marine and freshwater aquaculture, fisheries science, and animal health
-
for a motivated PhD candidate to join our team at the University of Oslo for the project: DC14 - ESKAPE pathogen adhesion to cells and implant surfaces Supervisors Dirk Linke: https://www.mn.uio.no/ibv
-
: https://www.mn.uio.no/ibv/english/people/aca/dirkl/index.html Co-supervisors: Håvard Haugen (Corticalis AS), Susanna Fagerholm (University of Helsinki) Project description The PhD candidate will study
-
: Using biogeochemical evolutionary models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life