[OFER-TRABEC] NAC: Postdoc in the systems biology: Modelling pattern

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---Procedencia:
Institución:Universitat Autonoma de Barcelona
Contacto correo-e:isaac.salazar@uab.cat
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Postdoc in the systems biology: Modelling pattern formation and morphogenesis

Position between Helsinki University and the Autonomous University of Barcelona

1.Job/ project description:

The main objectives of the PhD project is to:

a) Develop mathematical models of organ development (teeth, hair and wings).
The mathematical models include intracellular gene networks, cell signalling
and extra-cellular signal diffusion, bio-mechanical interactions between large
collectives of cells (all in 3D) (see above publications for orientative examples)

b) Develop models about the evolution of gene networks and embryonic
development in general.

Since we want to understand the range of possible phenotypic variations in different animals' development we have decided to use modelling approaches. Our models take as inputs knwon or estimated gene networks and the initial distribution of cells in space (in a given stage in development) and provide as a result the final organ morphology and patterns of gene expression in a given organ (in a given, latter, stage of development). Each model is simply a mathematical implementation of a hypothesis about how an organ develops. We construct these hypotheses, based on experimental work from other groups, and implement them in a computational model. The advantage of computational models in respect to merely verbal arguments is that the models provide precise quantitative predictions that are more easily to unambigously compare with experimental results (from new experiments aimed at testing the hypothesis). Merely verbal arguments are more difficult to be proven wrong or right and
get even difficult to express when the process under study involves a large number of cells in complex movement and communication between them (as it is often the case in development). These easily lead to largely unintuitive dynamics that are hard to analyze without quantitative models.

In addition, computational models allow to explore not only the wild-type but also, by variaton in the underlying gene network, the range of possible morphological variants (and how they change through development). The capacity to play with the parameters of the model allows us to actually understand its dynamics.

Ultimately, a model is simply a summary of what we think we understand about a system but that allows us to see if the underlying hypothesis could work. That the model works does not imply that the hypothesis is right, further experiments are required, but if the model can not produce the right wild-type it means that the underlying hypothesis is wrong or incomplete. In other words, what we thought we understood, we did not actually understand.

The biotechnology institute includes a range of
experimental biologitst working on several systems. The supervisor
of the theoretical aspects will be Dr. Salazar-Ciudad but the PhD
would include close collaboration with Jukka Jernvall group and
would include collaboration with developmental biologists,
bioinformaticians, paleontologists and other evolutionary and
systems biologists. The work may also include, optionally,
collaboration, and spending some time, in Barcelona.
The modeling can focus on gene network regulation, cell-cell
communication, cell mechanical interactions and developmental
mechanisms in general and, optionally, artifical in silico
evolution.


2. Requirements:

The applicant should hold a PhD in either evolutionary biology,
developmental biology, systems biology or theoretical biology.
Some knowledge of ecology, zoology, cell and molecular biology
are also desirable.

Bioinformaticians, systems biologists or computer biologists that do
not have a degree in biology or similar similar would not be considered
(this excludes Computer scientists, physicists and engineers).

Programming skills or a willingness to acquire them is required.
Familiarity with GPU computing is highly desirable.

The most important requirement is a strong interest and motivation
on science, gene networks and evolution. A capacity for creative and
critical thinking is also desirable.

3. Description of the position:

The fellowship will be for a period of up to 4 years (100% research
work: no teaching involved).


Salary according to Finnish postdoc salaries.


4. The application must include:

-Application letter including a statement of interests
-CV (summarizing degrees obtained, subjects included in degree and
grades, average grade)

-Application should be send to Isaac Salazar-Ciudad by email:

isaac.salazar@helsinki.fi

Foreign applicants are advised to attach an explanation of their
University's grading system. Please remember that all documents should
be in English (no official translation is required)

5. Examples of recent publications by Isaac Salazar-Ciudad group.

-Salazar-Ciudad I1, Marín-Riera M. Adaptive dynamics under
development-based genotype-phenotype maps.
Nature. 2013 May 16;497(7449):361-4.

-Salazar-Ciudad I, Jernvall J. A computational model of teeth and
the developmental origins of morphological variation. Nature. 2010
Mar 25;464(7288):583-6.




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Información complementaria de la oferta:
6. Interested candidates should check our group webpage:


http://www.biocenter.helsinki.fi/salazar/index.html


There is no deadline, positions will be filled as they come.

Isaac Salazar-Ciudad: isaac.salazar@helsinki.fi

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