[Todos] Fwd: [info.statphys] Post doc in statistical physics, machine learning and protein sequence analysis

[Asistentes de Secretaria de Fisica]

-------- Mensaje original -------- 

 		ASUNTO:
 		Fwd: [info.statphys] Post doc in statistical physics, machine
learning and protein sequence analysis

 		FECHA:
 		2018-05-25 10:36

 		REMITENTE:
 		Mariela Portesi <mariela.portesi en gmail.com>

 		DESTINATARIO:
 		Secretaria del Dpto.de Física <secre2 en fisica.unlp.edu.ar>

Para difusion.

---------- Forwarded message ---------
From: <cocco en lps.ens.fr>
Date: vie., 25 de may. de 2018 4:42 AM
Subject: [info.statphys] Post doc in statistical physics, machine
learning and protein sequence analysis

Dear colleague,

We are looking for a post-doctorant on statistical physics and machine
learning, both on theoretical aspects and on applications to the
analysis
of protein and RNA sequence data. The post-doc will be located in the
Department of Physics at the Ecole Normale Superieure in Paris, under
the
supervision of S. Cocco and R. Monasson. The duration of the position is
of two years.

>From a theoretical point of view, the post-doc will develop machine
learning tools and will apply statistical physics methods and concepts
to
better understand how such machines operate and learn from data.
Different unsupervised architectures will be studied and compared,
including Boltzmann Machines, Restricted Boltzmann Machines, and
Autoencoders.

>From an applied point of view, sequence data are accumulating thanks to
massive sequencing technologies. The goal of the post-doctoral project
will be to learn models of protein or RNA families from the
corresponding
sequence data, with special emphasis on the understanding of sequence to
function relation, and on the prediction of mutational effect and
mutational paths. The study will in particular concentrate on predicting
mutational effects and mutational paths in the trypsin enzyme.
Theoretical predictions will be compared with high-throughput screening
of mutational effects by the C. Nizak and O. Rivoire at College de
France.

Post-doc candidates are expected to have solid knowledge in statistical
physics, inference methods and data analysis, and both analytical and
computer programming skills. Moreover he/she should have a deep interest
and possibly a previous experience in computational biology and/or
bioinformatics.

Applications should be sent by email to cocco en lps.ens.fr or
monasson en lpt.ens.fr by July 30, 2018.

Please help us distribute this announcement.

best regards,
Simona Cocco and Rémi Monasson
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