Espero que os encontréis bien.
Reenvío este anuncio, de posible interés para la lista, anunciando unas plazas de PhD en el ETH de Zurich.
The Computational Biology group in the Institute of Integrative
Biology at ETH Zurich, led by Joshua L. Payne, is hiring two new
Ph.D. students, with funding for up to four years. The group is
broadly interested in evolution, particularly in the relationship
between genotype and phenotype, and the role of mutation in the
generation of adaptive phenotypic variation. We study these topics at
all scales of information transmission from DNA to protein, with an
emphasis on transcriptional regulation. The PhD projects available are
centered around these topics.
We are looking for two highly self-motivated students to join our
team, which is currently made up of 2 PhD students and one postdoc,
with backgrounds in physics, developmental biology, and evolution. The
successful candidates will have experience in some form of
computational science, a passion for evolutionary biology, and a
masters in a related discipline (math, physics, CS, life
sciences...). Fluency in a major programming language is essential, as
is the ability to work independently. Experience modeling evolutionary
processes or analyzing large-scale biological datasets, such as from
functional genomics assays, is a plus.
We will begin considering applications on May 1st, and will continue
until the positions are filled. The earliest possible start date is
July 1st. Given the ongoing global pandemic and the computational
nature of the projects, we may begin with home office if the candidate
already resides in Switzerland.
To be considered, please send a single pdf file to joshua.payne [at]
including your CV, publication list, academic transcripts,
a single-paged statement of research interests, and contact
information for 2-3 academic references. Please write GPMAP2020 in the
Payne & Wagner (2019) "The causes of evolvability and their
evolution." Nature Reviews Genetics, 20, 24-38.
Aguilar-Rodríguez et al. (2018) "The architecture of an empirical
genotype-phenotype map." Evolution, 72, 1242-1260.
Payne et al. (2018) "RNA-mediated gene regulation is less evolvable
than transcriptional regulation." Proceedings of the National Academy
of the Sciences, 115, E3481-E3490.
Aguilar-Rodríguez et al. (2017)
"A thousand empirical adaptive landscapes and their navigability."
Nature Ecology & Evolution, 1, 0045.
Payne & Wagner (2014) "The robustness and evolvability of
transcription factor binding sites." Science, 343, pp. 875-877.