PhD Visual Analytics for 3DOMICS
TU Delft
There is an urgent need for fast and scalable visual analytics methods to capitalize on the discovery potential of multimodal, high-dimensional data. This position aims to develop methods to support the interactive exploration of such data for hypothesis generation which is the main analysis bottleneck. These methods developed will be inspired by the needs of single cell and spatially resolved imaging "-omics" (3DOMICS) data. Without further advances towards scalable, interpretable pattern discovery methods, much of the potential of large-scale single-cell / 3DOMICS experiments will remain buried in the data.
The rapid advancements in single-cell measurement technologies are currently revolutionizing biology, with clinical impact from immunology to cancer research to neuroscience. 3DOMICS techonologies allow the acquisition of tens to hundreds of genomics and/or proteomics measurements at subcellular resolution. For example, in Imaging Mass Cytometry a single pixel represents measurments of up to 50 different proteins over an area of 1μm squared. This allows for the extraction of cellular structures and their functionality and can show how cells are organized in their natural “tissue habitat”. Such data holds the key to unraveling diverse disease mechanisms, from interaction between immune and cancer cells to how the immune system derails in auto-immune diseases. However, the amount and complexity of the data mandate fast, scalable and interpretable data analytics methods. The aim of this project is to develop visual analytics techniques for integrated exploration of cellular contexts from multi-modal, large scale single cell- and 3DOMICS data.
This position is part of a larger project focused in immunology and neuroscience. In collaboration with various research partners including Leiden University Medical Center (LUMC), and with the Allen Brain Institute in Seattle
Link:
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Research Scientist/PostDoc
Peking Univetsity
Looking for newly graduated PhDs working in following areas：
1. BioVis - working in a newly established biomedical imaging center at PKU.
2. Large data visualization - working with teams in Big Data national engineering lab at PKU.
We also have faculty positions open. Chat with Xiaoru Yuan during the conference.
Link:
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Post-doc in Visual Analytics for Radiotherapy
TU Wien
The Department of Medical Physics at the Danish Center for Particle Therapy
of Aarhus University Hospital, Denmark and the Visualization Group at TU
Wien [https://www.cg.tuwien.ac.at], Austria invite applications for a
one-year PostDoc position offering applicants an exciting opportunity to
join a project in the area of Visual Analytics for Model-based Decision
Making in Image-Guided and Adaptive Radiotherapy.
The main contact people are Prof. Ludvig P. Muren [http://pure.au.dk/portal/en/persons/ludvig-muren(221517ef-552a-4a1a-a630-b8d3765a6bf6).html]
from Aarhus University Hospital and Dr. Renata G. Raidou [https://www.cg.tuwien.ac.at/staff/RenataRaidou.htm] from TU Wien. The
position is available from 1st September 2019. It is funded by a research
grant from VARIAN medical systems for one year, with potential extensions.
For more details, please see the attached pdf, the TU Wien group page (https://www.cg.tuwien.ac.at/) or contact Renata Raidou (rraidou@cg.tuwien.ac.at ). Application deadline: *before 24 June 2019*
Link:
https://www.cg.tuwien.ac.at/news/2019-05-15-open-post-doc-visual-analytics-radiotherapy
Computational Science Postdoctoral Scholar
Lawrence Berkley National Laboratory
Please see link for full description.
Link:
http://m.rfer.us/LBLO401l6
Pre/postdoc in topological data analysis
Hasselt University
The UHasselt Data Science Institute in Belgium fosters collaboration among data science experts across disciplines. As part of this new institute, the Visual Data Analysis Lab (vda-lab.be) is interested in applying interactive data visualisation to support data scientists in gaining insight in their complex data.
The VDA-lab will be hiring a pre- or postdoc in the field of topological data analysis, more specifically for research in the definition of feature vectors in multiple domains, graph distance metrics, and generation and qualitative analysis of networks. Application domains include life sciences (epidemiology, genomics, patient stratification, ...), archaeology and others.
If interested, come and talk to me (Jan Aerts) buurt be quick as I'll be leaving Porto Thursday morning.
Link:
http://vda-lab.be
Scientific Data Management Specialist
ELI Beamlines
ELI-Beamlines as a cutting edge laser facility is currently being commissioned near Prague, Czech Republic. ELI (Extreme Light Infrastructure) project is involved in a European project Photon and Neutron Open Science Cloud – PaNOSC which aims at developing and providing services for scientific data and integrating them to the European Open Science Cloud (EOSC).
Your main mission will be to design and implement solutions for cataloging experimental data and metadata and integrating them into PaNOSC and EOSC. You will collaborate with multiple teams at ELI as well as within PaNOSC project to bring data from their acquisition to publicly accessible web services based on FAIR Data Principles (Findable, Accessible, Interoperable, Reusable).
Required skills:
● university degree in Computer Science, Engineering, Science, or related field
● experience with working with scientific data and metadata
● experience with setting up and managing databases
● experience with development of APIs
● experience with programming in Python
● good knowledge of Linux/Unix programming environment
● proficiency in English
Link:
https://www.eli-beams.eu
Senior lecturer in Applied Visualization
Linköping University
At the division of Media and Information Technology (MIT) fundamental research in visualization has been conducted for a long period of time and we now experience an increased demand for applied visualization, both from academia as well as external actors within government agencies, industry and society. In many of these situations the primary need is to apply existing techniques in efficient ways for the users and to spread knowledge and understanding amongst the actors so they can continue to develop the visualization tools within their own organization. The division is now looking to expand its capacity to undertake such projects and has thus opened this position with the aim to coordinate and develop projects within applied visualization with external stake holders.
Link:
https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=11412&rmlang=UK
PhD position: Visualisations for smartwatches and other small devices
Inria
This PhD position is part of a joint Franco-German project. The PhD student will study very small data visualizations, micro visualizations, in display contexts that can only dedicate minimal rendering space for data representations. The increasing demand for data visualizations on small mobile devices such as fitness tracking armbands, smart watches, or mobile phones drives this research direction. Given this usage context, the goal is to focus on situations in which visualizations are used “on the go,” while walking, riding a vehicle, or running.
Research Goals
It is still unclear to which extent our knowledge of desktop-sized visualizations transfers to contexts that involve minimal display space, diverse viewing angles, and moving displays. We want to understand how visualizations can be read when they are worn on a person. Do certain types of visualization support better reading when people just briefly glance at them - or when their hands or arms are shaking (e.g. while jogging or moving in a vehicle)?
Link:
https://www.aviz.fr/Research/JobsMicroVis
Full Professor/Associate Professor at PKU
Peking University
We are looking for 2-3 non-tenure track candidates in visualization and visual analytics at the rank of full professor or associate professor level. The positions are created in a newly established bio-medical imaging center at Peking university. We look for experts in various directions of visualization. It is also possible to switch to tenure track with good performance. There are also other positions for junior applicants. Email Xiaoru Yuan if you are interested in the positions.
Link:
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