Hi all,

I am currently recruiting for 1 fully-funded PhD and 2 postdoc positions within 
my new research group at Linköping University in Sweden.

Because this is an international board: the PhD position is a 4-year employed 
position with salary, healthcare coverage, pension, other employment benefits, 
etc. The starting salary for PhD researchers is 30 500 SEK/month (in 2022). The 
postdoc positions are initially for 2 years, and salaries for postdocs are 
negotiated on an individual basis.


PhD Student in Structural Bioinformatics (Macromolecular Flexibility & Dynamics)

I am looking for a PhD student to develop machine learning and data-science 
approaches to characterise heterogeneous/disordered regions of crystallographic 
structures from multi-dataset experiments (fragment 
screening/multi-temperature/time-resolved experiments), in order to study 
flexibility and dynamics of these systems. If you have a background in machine 
learning approaches, and are interested in applying these approaches to 
biological data, or a background in (computational) structural biology, and 
looking to further develop your data-science/programming skills, please get in 
touch!

Read more and apply here: 
https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=20567&rmlang=UK


Postdoctoral Researchers in Structural Bioinformatics (Macromolecular 
Flexibility & Dynamics)

I am also looking for two postdoctoral researchers to 1) develop and deploy 
methods for quantifying and analysing flexibility in macromolecular structures 
using machine learning approaches, and 2) develop new modelling and refinement 
protocols for structures from multi-dataset experiments (fragment 
screening/multi-temperature/time-resolved experiments) that enable 
visualisation and quantitative analysis of weak features in multi-dataset 
macromolecular structural data. Once more, please don’t hesitate to get in 
touch if you have questions about the positions!

Read more and apply here:
Position 1: 
https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=20513&rmlang=UK
Position 2: 
https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=20539&rmlang=UK


About the research group

In the Data-Driven Determination of Macromolecular Structures (d3ms) group at 
Linköping University, we develop data-driven methodologies for determining and 
analysing macromolecular structures, focussing on structural disorder and 
dynamics in the context of biomedical applications. One of our primary focuses 
is the development of multi-dataset and integrative approaches which take 
advantage of ever-increasing data-collection capacities in both 
crystallographic and cryoEM experiments. This subject area means we use a 
variety of statistical, data science & machine learning approaches.

The group website can be found here: 
macromolecular.github.io<https://macromolecular.github.io/>

We are based in the bioinformatics division within the department of Physics, 
Chemistry and Biology (IFM) at Linköping University. Our research group is part 
of the Data-Driven Life Sciences (DDLS) program and the SciLifeLab national 
network, providing access to national computational resources, expertise and 
training opportunities. The location of the Swedish national supercomputer 
centre on the Linköping university campus provides additional access to 
computational resources.

The SciLifeLab and Wallenberg National Program for Data-Driven Life Science 
(DDLS) is a 12-year initiative funded with a total of 3,1 billion SEK (~300M€) 
from the Knut and Alice Wallenberg Foundation. The purpose of the program is to 
recruit and train the next-generation of data-driven life scientists and to 
create globally leading computational and data science capabilities in life 
science in Sweden. The program is coordinated by SciLifeLab, a nationwide 
research infrastructure and a hub for cross-disciplinary life sciences. The 
DDLS program promotes collaborative interdisciplinary work and engagement with 
industry, healthcare and other national and international partners, such as 
WASP, with the aim of bridging the life science and data science communities.


Please feel free to forward this to anyone you think might be interested in the 
position,

Thanks,
Nick


Nicholas (Nick) Pearce | Assistant Professor in Bioinformatics
SciLifeLab Data-Driven Life Sciences (DDLS) Fellow
Linköping University, Sweden
nicholas.pea...@liu.se<mailto:nicholas.pea...@liu.se> | 
macromolecular.science<http://www.macromolecular.science/> or 
macromolecular.github.io<https://macromolecular.github.io/>

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