Postdoctoral Fellow: AI-based integrative modeling of macromolecular complexes
Your role
Despite the emergence of AlphaFold and related AI-based modeling tools, large macromolecular complexes still cannot be consistently modeled with high accuracy.
Experimental data can guide the modeling of large complexes; however, methods for modeling based on experimental data are not sufficiently automated, computationally inefficient, and lack general applicability.
To address this, you will :
- Develop computational methods to model the atomic structure of large macromolecular complexes using tools such as AlphaFold, RoseTTAfold, and OpenFold, alongside your own innovative AI-based algorithms, and integrating experimental data from in-cell cryo-ET tomography and crosslinking mass spectrometry
- Investigate and implement methods that combine statistical techniques like Bayesian inference and Monte Carlo sampling with non-linear optimization approaches and advanced deep learning (e.
g., geometric deep learning and reinforcement learning).
- Contribute to open-source codebases such as OpenFold, AlphaPulldown, and Assembline
- Disseminate your code in well-organized, documented, and rigorously tested software packages
- Use these new methods for research projects within the TransFORM consortium.
You will be affiliated with the research group of Jan Kosinski at EMBL Hamburg, but you will spend at least a year as a visiting postdoctoral fellow at the Fabian Theis group at Helmholtz Münich.
Apply now
Closing date : 19 August 2024
Contract duration : 3 years with possibility of extension up to 5 years
Grading : Stipend
Reference number : HH00227
Related
- View all EMBL jobs
- Sign up for job alerts
- View openings from partners
You have
- Ph.D. in Computer Science, Computational Structural Biology, or a related field
- Proficiency in numerical libraries such as NumPy and SciPy
- Experience with machine learning techniques and frameworks, including Scikit-learn, TensorFlow, PyTorch, or JAX
- Experience in the dissemination and management of software packages
- Strong motivation to work in a highly collaborative and multidisciplinary environment of EMBL, Helmholtz Münich, and the TransFORM consortium
You might also have
- Experience in computational structural modeling or deep learning. However, candidates with a strong background in either computer science (and a willingness to learn structural biology) or structural biology (with proven extensive programming expertise) are encouraged to apply.
- Experience in deep learning techniques that can be applied for modeling or analysis of 3D macromolecular structures, such as geometric deep learning, graph neural networks, transformer and attention-based models, and reinforcement learning.
Postdoctoral Fellow: AI-based integrative modeling of macromolecular complexes
Despite the emergence of AlphaFold and related AI-based modeling tools, large macromolecular complexes still cannot be consistently modeled with high accuracy. Experimental data can guide the modeling of large complexes; however, methods for modeling based on experimental data are not sufficiently a...
Postdoctoral Fellow: AI-based integrative modeling of macromolecular complexes
Despite the emergence of AlphaFold and related AI-based modeling tools, large macromolecular complexes still cannot be consistently modeled with high accuracy. Experimental data can guide the modeling of large complexes; however, methods for modeling based on experimental data are not sufficiently a...
Postdoctoral Fellow: Integrative cryo-electron tomography data mining
Develop algorithms to identify macromolecular complexes in cellular tomograms, using image processing techniques such as template matching and machine learning. Explore the integration of spatial constraints from other data sources to improve particle identification. Experience in the dissemination ...
Postdoctoral Fellow: Integrative cryo-electron tomography data mining
Develop algorithms to identify macromolecular complexes in cellular tomograms, using image processing techniques such as template matching and machine learning. Explore the integration of spatial constraints from other data sources to improve particle identification. Experience in the dissemination ...
Clinical Research Associate
Hobson Prior is seeking a Clinical Research Associate to join a prestigious pharmaceutical company in Germany. In this role, you will be involved in planning, coordinating, and conducting clinical research studies for in vitro diagnostics. Basic understanding of clinical research regulations and gui...
PhD Students (all genders) for the DFG-fundedresearch group
Main tasksBasic researchers and clinical scientists form functional and interacting research units at the University Medical Center Hamburg-Eppendorf and have recently acquired the DFG-funded research group (FOR 5705) NeuroFlame - Defense and Demise of Inflamed Neurons.From January 1, 2025, this res...
Senior UX Researcher (m/w/d)
Du bist neugierig und bist leidenschaftlicher UX Researcher; mit deiner Begeisterung steckst du andere an und hast die Fähigkeit komplexe Methoden leicht zu vermitteln. ...
Scientist at the Small-Angle X-ray Scattering beamline for materials research (SAXMAT) Beamline P62
With its ultramodern research infrastructure, its interdisciplinary research platforms and its international networks, DESY offers a highly attractive working environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. The Sm...
(Junior) Data Scientist (m/w/d) - Datenbankentwicklung/BI, Ingenieur
Als (Junior) Data Scientist bist du insbesondere an der operativen Umsetzung der Analysen beteiligt und durchläufst dabei den gesamten Analyseprozess von der Datenaufbereitung bis zur Analyse und Ergebnispräsentation. Data Monetization by Customer Relevance: Dafür steht DATA...
Senior Data Scientist Generative AI (m/w/d) - Datenbankentwicklung/BI, Ingenieur
Werde auch du Teil unserer digitalen Erfolgsgeschichte und komm als Data Scientist Generative AI (m/w/d) zu uns an Bord!. Data Scientist Generative AI (m/w/d). Als Data Scientist Generative AI bei Materna. Bei der Bereitstellung und Verarbeitung großer, verteilter Datenmengen kommen innovative...