Sort by
Refine Your Search
- 
                Listed
 - 
                Country
 - 
                Employer
- ;
 - Nature Careers
 - The University of Arizona
 - Brookhaven Lab
 - NEW YORK UNIVERSITY ABU DHABI
 - Oak Ridge National Laboratory
 - University of Kansas
 - Aarhus University
 - Austrian Academy of Sciences, The Human Resource Department
 - Brookhaven National Laboratory
 - CNRS
 - Durham University
 - ETH Zürich
 - European Space Agency
 - FUB - Free University of Berlin
 - Forschungszentrum Jülich
 - Heriot Watt University
 - King Abdullah University of Science and Technology
 - New York University
 - The University of Memphis
 - UNIVERSITY OF VIENNA
 - Universitat Rovira i Virgili
 - University of California, Merced
 - University of Luxembourg
 - Virginia Tech
 - Łukasiewicz Research Network - Krakow Institute of Technology
 - 16 more »
 - « less
 
 - 
                Field
 
- 
                
                
                
develop processes for the purification of hydrogen obtained from diol-based carrier molecules and to evaluate possibilities for the use of electrochemical compression processes. In this PostDoc position you
 - 
                
                
                
(Shannon entropy, compressibility, effective complexity and logical depth). The data basis for the analyses are two-fold: first, recent connectome data, i. e. large datasets of all synaptic connections in
 - 
                
                
                
that includes. Job description: We are seeking an information theorist with an academic background in mathematics or bioinformatics and a specialization in information theory (Shannon entropy, compressibility
 - 
                
                
                
, and lab inventories related to cellular and molecular biology techniques that will include common use items (e.g., compressed gas, dry ice and liquid nitrogen). Guide the work of others and/or provides
 - 
                
                
                
performance. The impact of this process will be investigated, considering its impact on the compressibility and transfer properties of the mixtures. Successful candidate will engage in interdisciplinary
 - 
                
                
                
device prototypes. Furthermore, the candidate should have experience in polymer processing techniques, including filament extrusion, compression molding, injection molding, and fused deposition modeling
 - 
                
                
                
sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
 - 
                
                
                
sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
 - 
                
                
                
in the field of heat pumps and refrigeration systems Knowledge of English. Specific Requirements Modelling and Simulation of CO2 Refrigeration Systems based on liquid piston compression, validated with
 - 
                
                
                
expectations. Preferred Qualifications Previous experience with turbulence over rough walls, porous media, or complex geometries, as evidenced by work history. Knowledge of compressible flow regimes, including