From arne.elofsson at gmail.com Fri Sep 1 15:48:00 2023 From: arne.elofsson at gmail.com (Arne Elofsson) Date: Fri, 1 Sep 2023 15:48:00 +0200 Subject: [SocBiN] Tenure track positions in Sweden Message-ID: Dear all In total, 20 extremely well-founded (Startup of $1.6M) tenure track positions in Data Driven Life Science are available in Sweden,k with deadlines in October. Read about all here: https://www.scilifelab.se/news/second-round-of-ddls-fellow-recruitment-now-open/ At Stockholm University, we have two openings: 1. *Assistant Professor in Data-Driven Evolution and Biodiversity*, https://www.scilifelab.se/career/assistant-professor-in-data-driven-evolution-and-biodiversity-3/ 2. *Assistant Professor in Data-Driven Cell and Molecular Biology * https://www.scilifelab.se/career/assistant-professor-in-data-driven-cell-and-molecular-biology-6/ Links to all positions: https://www.scilifelab.se/careers?filter=ddls-fellow Yours Arne Yours Arne ----------------------------------------- Arne Elofsson Science for Life Laboratory Tel:+46-(0)70 695 1045 Stockholm University http://bioinfo.se/ Box 1031, Email: arne at bioinfo.se 17121 Solna, Sweden Twitter: @arneelof Mastodon: @arneelof at fediscience.org Zoom: https://stockholmuniversity.zoom.us/my/arneelof/ Scholar: http://scholar.google.se/citations?user=s3OCM3AAAAAJ ORCID: 0000-0002-7115-9751 -------------- next part -------------- An HTML attachment was scrubbed... URL: From arne.elofsson at gmail.com Mon Sep 11 10:46:09 2023 From: arne.elofsson at gmail.com (Arne Elofsson) Date: Mon, 11 Sep 2023 10:46:09 +0200 Subject: [SocBiN] Fwd: PhD position on xenosensors-ligand recognition In-Reply-To: References: Message-ID: From: Natakue Reuter contact her directly Dear colleague, Could you please circulate the following ad for a PhD position? In my group, we have an open PhD position to work on the recognition of specific pollutants by fish receptors (xenosensors). The PhD student will be part of a larger project involving experimentalists and aiming at developing a biosensor for detection of environmental pollutants. The PhD project will involve genome mining to retrieve relevant receptor sequences in a selection of species, modelling of protein structures and high-throughput docking, as well as molecular dynamics simulations. We are looking for a candidate preferably with experience in molecular modeling from their master project and good programing skills. Candidates with a degree in bioinformatics (and good programming skills) will also be considered. Excellent command of English is required. We are part of the Computational Biology Unit at U.Bergen (Norway), an international center counting 13 research groups spanning a wide breadth of computational biology research. Candidates can email me for more information. Deadline for submission of application: 18.09.2023 Starting date: November 2023 (can be discussed) More information and application procedure can be found at https://www.jobbnorge.no/en/available-jobs/job/249440/phd-research-fellow-in-structural-biology Kind regards, Nathalie --- Nathalie Reuter, Prof Computational Biology Unit Department of Chemistry University of Bergen Bergen, Norway -------------- next part -------------- An HTML attachment was scrubbed... URL: From sermarcue at gmail.com Mon Sep 11 10:00:00 2023 From: sermarcue at gmail.com (Sergio Martinez Cuesta) Date: Mon, 11 Sep 2023 09:00:00 +0100 Subject: [SocBiN] AstraZeneca funded PhD studentship: expanding the toolbox of molecular degraders through systematic degron discovery Message-ID: Dear all, (Please circulate the following PhD project opportunity within your network) Applications are invited for a fully funded, four-year *PhD studentship *based at the Cambridge Institute for Therapeutic Immunology and Infectious Disease (CITIID) in the *University of Cambridge and the new AstraZeneca* Discovery Centre on the Cambridge Biomedical Campus. This is a collaborative project between the laboratories of Dr Richard Timms (University of Cambridge) and Dr Sergio Martínez Cuesta (AZ), and the student will have the opportunity to work across both sites. Applications are welcome by *9th October 2023*. For information about the project and the application process, please check the following link: https://www.jobs.cam.ac.uk/job/42749/ Thanks, Sergio and Richard -------------- next part -------------- An HTML attachment was scrubbed... URL: