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POSTDOC IN COMPUTATIONAL IMAGING GENOMICS (DATA SCIENCE) ()

Descrizione dell'offerta di lavoro

Project.
"Investigating genome structural variability at the nanoscale", Giovanni Armenise Harvard CDA Commitment %26amp; contract.
Post Doc 1 year collaboration contract, renewableLocation.
Center for Human Technologies - GenoaSalary range.
30k - 35k euroWHO WE AREAt IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society.
Our Genoa headquarter is strictly inter-connected with our 11 centers around Italy and two outer-stations based in the US for a truly interdisciplinary experience.
YOUR TEAM The Integrative Nuclear Architecture research unit is coordinated by Dr.
Irene Farabella (Armenise-Harvard CDA), who has extensive experience in integrative modelling, imagining data analysis and 3D genomics.
You will be working in a multicultural and multi-disciplinary group, where computational and experimental researcher collaborate, each with their own expertise, to advance our knowledge in how the human genome is organized and regulated.
Specifically, the overall goal of the lab is to understandhow 3D genome organization plasticity (Nir, Farabella, et al.
PlosGen ) influence gene regulation with a strong focus on the role of RNAs in shaping such organization (Farabella et al.
Nat Struct Mol Bio ; Mendieta-Esteban et al., NAR genom.
ioinform., ; Morf et al.
Nat.
Biotechnol.
).
The Integrative Nuclear Architecture research unit is anactive member of theFANTOM6 and of the Centers of Excellence in Genomic Science-Center of Genome Imaging collaborative projects, placing the lab at the forefront of scientific innovation.
or more information visit.
https://ina.
it.
t/This specific project will focus on developing new computational methods for the analysis and interpretation of multiplexed single-cell imaging, mainly points clouds chromatin tracing experiments.
The overall objective of the project is toimplement new means to measure and predict genome folding patterns using a combination of data modelling, optimization, and machine learning techniques.
ithin the team, your main responsibilities will be.
eveloping tools for the high-throughput detection, analysis, and quantification of large single-cell chromatin tracing dataset (point clouds data).
mplementing algorithms for integration of chromatin tracing data generated in the lab and publicly available datasets with other multi-omic dataset.
orking in a highly collaborative spirit, interacting with, and supporting the other group members and the collaborators.
ublishing reproducible research in international conferences and in high-impact, open-access journals.
e expect all code produced in this project to be developed in Python, released as fully open source, and made publicly available to the research community.
his open position is fully funded by the Giovanni Armenise Harvard Foundation within the project.
"Investigating genome structural variability at the nanoscale" (Career Development Award, ).
SSENTIAL CRITERIAA PhD (or you are close of finishing your PhD) in Computational Biology or related disciplines, including Mathematics, Bioinformatics, Statistics, Biology, Biotechnology, Physics, Computer Science, and similar disciplines.
ocumented experience in data analysis, statistics, and/or machine learning.
he ability to properly report, organize and publish research data.
luency in oral and written English DESIRABLE CRITERIAExperience in method development, programming (Python) and scripting abilities are highly desirable.
xperience in any of the following.
bulk "omics" data analysis, image processing and analysis, data-driven modelling and optimization.
nowledge of version control systems (e.
., GitHub) and/or container systems (e.
., Docker, Singularity)Possession of a sense of scientific curiosity, be capable of mastering new computational methods, be interested in method development.
ood communication skills.
trong problem-solving attitude.
xperience working in a team-oriented environment.
ble to work independently and collaboratively in a highly interdisciplinary environment.
ALARY %26amp; BENEFITSPrivate health care coverage Wide range of staff discountsCandidates from abroad or Italian citizens who permanently work abroad and meet specific requirements, may be entitled to a deduction from taxable income of up to 90% from 6 to 13 years.
HAT'S IN IT FOR YOU?an equal,inclusive, andmulticulturalenvironment, where applicants are welcome regardless of age, disability, gender, nationality, ethnicity, religion, sexual orientation, or gender identity.
ork in a collaborative and interdisciplinary research environment which fosters scientific independence and innovation.
A specialized team working to help you with paperwork, especially during your relocation.
lease submit your application using the online form and including.
detailed CVa brief cover letter (outlining motivation, experience, and qualifications) contact details of at least 2 referees.
pplication's deadline.
We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia.
our data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security.
lease also note that, pursuant to articles 15 et.
seq.
of European Regulation no.
(General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone Tel.
+ - kindly note that this e-mail address is exclusively reserved for handling data protection issues.
Please, do not use this e-mail address to send any document and/or request of information about this opening).
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Dettagli dell'offerta

Azienda
  • Imprecisato
Località
  • Tutta l'Italia
Indirizzo
  • Imprecisato - Imprecisato
Data di pubblicazione
  • 21/06/2024
Data di scadenza
  • 19/09/2024
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