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Jacobo Aguirre <[log in para visualizar]>
Reply To:
Jacobo Aguirre <[log in para visualizar]>
Thu, 30 Mar 2023 17:51:05 +0200
text/plain (81 lines)

Este grupo lleva tiempo intentando cubrir la plaza de postdoc que os 
envío. Si estáis interesados, no dejéis de contactar a Ramón 
Díaz-Uriarte cuanto antes.

Reenviad este anuncio, por favor, si creéis que le puede interesar a 
alguno de vuestro contactos.

Un saludo,

Jacobo Aguirre.


Dear all,
We are looking for a postdoc for a 12 month position (possibly 14 
months) to join our group at the Universidad Autonoma de Madrid. Gross 
monthly income of aprox. 2200 euros. Starting date: as soon as possible 
(though call will remain open for several months until candidates are 
found). The project is funded by the Spanish AEI/MCIN.

Interested candidates please write Ramon Diaz-Uriarte ([log in para visualizar]) 
with subject POSTDOC-111256RB-3. Include a letter of interest and CV..

Summary of work to be developed

1.Programming and optimization of simulation software in scientific 
environments, using the languages R, C++, and Julia (and, as needed, 
other specific languages or libraries).

2.Programming and development of tumor progression models, using R, C++, 
and Julia languages (and, as needed, other specific languages or libraries),

3.Management and statistical analysis of massive simulations of 
evolutionary processes in cancer and their processing with existing 
methods, as well as with methods newly developed by our group.

4. Dissemination of results: writing of scientific articles, attending 
to conferences.

Merits to be valued

1. Publications in one or more of the following areas: computational 
biology, evolutionary biology, statistics and probability, computer 
science applications, biophysics, applied mathematics, modeling and 
2. Research experience in some of the following areas: computational 
biology and mathematical oncology; evolutionary biology and population 
genetics (theoretical); stochastic simulation; development of 
probabilistic models (preferably in evolutionary biology and 
mathematical oncology) and Bayesian statistics; causal inference.
3. Experience with one or more of R, C++, and Julia programming 
languages. Also valued: experience with Stan, Python, C, Clojure, 
Javascript, probabilistic programming and deep learning libraries, as 
well as experience with high-performance computing.

Ramon Diaz-Uriarte
Department of Biochemistry, Lab B-31
Facultad de Medicina Universidad Autónoma de Madrid Arzobispo Morcillo, 4
28029 Madrid

Phone: +34-91-497-2412

Email: [log in para visualizar]
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