From iwona.zielinska at mimuw.edu.pl Mon Apr 1 10:38:33 2019 From: iwona.zielinska at mimuw.edu.pl (=?UTF-8?Q?Iwona_Zieli=c5=84ska?=) Date: Mon, 1 Apr 2019 10:38:33 +0200 Subject: [SocBiN] Postdoc positions - Machine Learning Methods in Computational Biology Message-ID: <15590ad9-8067-667c-e501-99bb532987b6@mimuw.edu.pl> Dear All, We have method oriented, machine learning, *postdoc positions* concerned with single-cell data, and cancer. We also have a methods oriented*PhD* *position* and a postdoc position in bacterial genomics. For more information see lagergrenlab.org - *KTH, Stockholm, Sweden* Apply! best regards, Iwona Zielińska -- Iwona Zielińska project manager Horizon 2020 - CONTRA University of Warsaw www.uw.edu.pl www.mimuw.edu.pl -------------- next part -------------- An HTML attachment was scrubbed... URL: From bartoszekkj at gmail.com Wed Apr 3 09:37:55 2019 From: bartoszekkj at gmail.com (Krzysztof Bartoszek) Date: Wed, 3 Apr 2019 07:37:55 +0000 Subject: [SocBiN] open PhD student position Message-ID: Dear all, At the Division of Statistics and Machine Learning, Department of Computer Science, Linkoping University we have opened a PhD student in Statistics position that is related to phylogenetic comparative methods : https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=10890&rmlang=UK https://www.ida.liu.se/~krzba67/PhD_May2019.pdf Please feel free to spread the word and of course apply if you are interested! Best wishes Krzysztof Bartoszek, PhD Docent, Senior Lecturer in Statistics Division of Statistics and Machine Learning Department of Computer and Information Science Linkoping University krzysztof.bartoszek at liu.se From vang at clin.au.dk Wed Apr 10 11:03:43 2019 From: vang at clin.au.dk (=?utf-8?B?U8O4cmVuIFZhbmc=?=) Date: Wed, 10 Apr 2019 09:03:43 +0000 Subject: [SocBiN] Three post doc positions in cancer genomics and big data analysis at Department of Molecular Medicine, Aarhus University, Denmark Message-ID: <1CFE1CCC-6B49-4869-B98D-6333CB68F7DF@clin.au.dk> Dear All We have three open bioinformatic post doc positions in cancer genomics and big data analysis: https://www.au.dk/om/stillinger/job/postdocs-in-cancer-genomics-and-medical-big-data-analysis/. The application deadline is May 7, 2019. Please share with whoever might be interested. Best regards, Søren ______________ Søren Vang, Ph.D. Department of Molecular Medicine (MOMA) Aarhus University Hospital, Skejby Palle Juul-Jensens Boulevard 99 DK-8200 Aarhus N, Denmark Phone: +45 784 55362 (local 55362) email: vang at clin.au.dk -------------- next part -------------- An HTML attachment was scrubbed... URL: From clements at galaxyproject.org Mon Apr 15 07:01:20 2019 From: clements at galaxyproject.org (Dave Clements) Date: Mon, 15 Apr 2019 01:01:20 -0400 Subject: [SocBiN] 2019 Galaxy Community Conference (GCC2019), 1-8 July, Freiburg, Germany Message-ID: 2019 Galaxy Community Conference (GCC2019) 1-8 July, Freiburg, Germany https://galaxyproject.org/gcc2019 Deadlines 22 April: Oral Presentation and Lightning Talk abstracts due 17 May: Early registration ends The 2019 Galaxy Community Conference (GCC2019) will be held 1-8 July in Freiburg, Germany. GCC brings together hundreds of faculty, clinicians, researchers, and students, all working in and supporting data intensive science that is accessible, sharable and reproducible. GCC2019 features oral presentations, lightning talks, posters, demos, birds-of-a-feather gatherings (BoFs), training, a CollaborationFest, and plenty of opportunities for networking. Presentations will cover the full spectrum of Galaxy applications, enhancements and deployments. If you are working in data intensive science then GCC2019 is an ideal conference for sharing your work, learning from others, and finding new collaborators. Present your work! Abstract submission for talks, lightning talks, demos and posters is now open. If you work in data-intensive science then please consider presenting your work at GCC2019. This is a chance to present to 200+ researchers, all addressing challenges in data intensive science. Review of oral presentations starts on 22 April. Submit an abstract (or two) now ! Registration Early registration starts at €49/day for students and postdocs, and €79 / day for other academics and non-profit researchers. Childcare is available and travel fellowships are available as well. Early registration ends 17 May, when rates go up by 60%. So, register early . About Galaxy Galaxy is a platform for data integration and analysis in the life sciences. It enables researchers to build, run, share, and repeat their own complex computational analyses using only a web browser and without having to first learn system administration and command line interfaces. The Galaxy Project is driven by a vibrant community who publish workflows and analyses, wrap new tools, maintain and enhance the source code, provide support, and write documentation and training materials. Galaxy is open-source and freely available, and is deployed in hundreds of organizations, running on everything from laptops through supercomputers to public and private clouds. Over 150 of these platforms are publicly available and can be used with little or no setup. Thousands of tools have been ported to Galaxy ("wrapped") and are deployable from the Galaxy Tool Shed. Galaxy was developed to support life science research, but the software is domain agnostic and is now used in domains as diverse as natural language processing, constructive solid geometry, and social science. We hope to see you in Freiburg! GCC2019 Organizers -- https://galaxyproject.org/gcc2019/ https://galaxyproject.org/ https://usegalaxy.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From epitkane at cs.helsinki.fi Tue Apr 23 15:25:55 2019 From: epitkane at cs.helsinki.fi (=?UTF-8?Q?Esa_Pitk=c3=a4nen?=) Date: Tue, 23 Apr 2019 15:25:55 +0200 Subject: [SocBiN] Postdoc and PhD student position in machine learning andcomputational biology at FIMM, Helsinki Message-ID: Dear all, there is a postdoc and PhD student position in computational biology and machine learning open in my group at the Institute of Molecular Medicine Finland (FIMM), University of Helsinki. The group will start at FIMM in July 2019, and will address data integration, analysis and interpretation challenges stemming from massive-scale data generated in clinical and research settings. We will work closely with interdisciplinary collaborators at University of Helsinki, Helsinki University Hospital, EMBL and German Cancer Research Center. Specific application areas include hematological diseases, and diseases where somatic mutagenesis has a central role, such as cancer. Research projects include multimodal learning from clinical sequencing and imaging data utilizing techniques of deep learning, aiming to create methods which are useful in clinical practice. For more information, please contact Dr. Esa Pitkänen (esa.pitkanen at helsinki.fi), or visit - https://www.helsinki.fi/en/open-positions/postdoctoral-researcher-in-machine-learning-and-computational-biology - https://www.helsinki.fi/en/open-positions/phd-student-in-machine-learning-and-computational-biology Kind regards, Esa -------------- next part -------------- An HTML attachment was scrubbed... URL: