Postdoctoral researcher in Data Analysis of Biological Images

We are seeking a Postdoctoral Research Assistant for the Gene Machines’ group,
led by Prof Achilles Kapanidis. The group is well known for developing single-
molecule and single-cell fluorescence methods (Uphoff PNAS 2013; Robb, Sci
Reports 2019; Zagajewski, Nature Comm Biol 2023, Chatzimichail, Lab-on-a-chip
2024) and applying them to proteins functioning on DNA and RNA (Stracy, PNAS
2015; Mazumder, PNAS 2020; Mazumder, eLife 2021; El Sayyed et al Mol Cell
2024). The group is also known for the development of the Nanoimager
microscope and the founding of the microscopy company Oxford Nanoimaging
(https://oni.bio/). The group recently moved in the new Kavli Institute for
Nanoscience Discovery ( https://kavlinano.ox.ac.uk/), a vibrant environment
for interdisciplinary research at the interface of physical and biological
sciences, and for technology development.





This post is fixed term for 4 years





The project focuses on elucidating the mechanisms of gene transcription, by
visualising the biochemical reaction, its kinetics, and key conformational
changes at the single-molecule level, and in real-time within the crowded
environment of a living cell. This approach will lead to new discoveries and
insightful comparisons with _in vitro_ studies and help identify new steps for
antibiotic development.





To achieve this exciting goal, you will develop and apply novel data-analysis
methods, (especially image analysis and time-series analysis methods) and
associated software, while employing an multi-disciplinary approach that
involves tight collaboration within a team of biologists, biochemists and
biophysicists in the Kapanidis group. We are particularly interested in image-
analysis experts who have experience in experimental work and are keen to
engage both with the physical and biological aspects that underpin the images
to be analysed.





The ideal candidate should possess (or soon obtain) a doctorate in Physics,
Biophysics, or related field, and have experience of Python, and MATLAB.
Experience in image and time-series analysis, in machine-learning, and
managing large data sets is essential. Experience with parallelized data
analysis, LabVIEW programming, biological systems, bacterial imaging, and
fluorescence microscopy is desirable, but not essential.





You should have excellent communication skills and enjoy working within an
interdisciplinary group. You will manage academic and administrative
activities, develop ideas for generating research income, collaborate on
reports and journal articles, and have the opportunity to teach.





Please direct enquiries to Prof Kapanidis
(Achillefs.Kapanidis@physics.ox.ac.uk)





Only applications received before midday 25th November 2024 can be
considered. You will be required to upload a statement of research interests,
CV, copies of two representative publications (or, alternatively, manuscripts
in preparation) and details of three referees as part of your online
application.