Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- SciLifeLab
- Technical University of Denmark
- Cranfield University
- DAAD
- Technical University of Munich
- ;
- University of Groningen
- Susquehanna International Group
- Chalmers University of Technology
- Forschungszentrum Jülich
- Ghent University
- Wageningen University and Research Center
- Fraunhofer-Gesellschaft
- University of Nottingham
- University of Southern Denmark
- ; University of Nottingham
- Leibniz
- Lulea University of Technology
- Radboud University
- Swedish University of Agricultural Sciences
- University of Oslo
- CWI
- Curtin University
- Linköping University
- NTNU - Norwegian University of Science and Technology
- Umeå University
- University of Antwerp
- University of Göttingen •
- ; Newcastle University
- ; Swansea University
- ; Technical University of Denmark
- ; The University of Manchester
- ; University of Birmingham
- ; University of Oxford
- ; University of Surrey
- Columbia University
- Leiden University
- Murdoch University
- Purdue University
- Radix Trading LLC
- University of Adelaide
- University of British Columbia
- University of Luxembourg
- University of Newcastle
- University of Utah
- Utrecht University
- VIB
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; The University of Edinburgh
- ; University of East Anglia
- ; University of Exeter
- ; University of Leeds
- ; University of Reading
- ; University of Strathclyde
- ; University of Sussex
- ; University of Warwick
- Aarhus University
- Arizona State University
- Blekinge Institute of Technology
- Canadian Association for Neuroscience
- Deutsches Elektronen-Synchrotron DESY •
- Duke University
- Erasmus University Rotterdam
- Leipzig University •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- McGill University
- Monash University
- National Institute for Bioprocessing Research and Training (NIBRT)
- National Research Council Canada
- OsloMet
- Queensland University of Technology
- The Ohio State University
- The University of Newcastle
- Trinity College Dublin
- UiT The Arctic University of Norway
- University of California Irvine
- University of Cambridge
- University of Delaware
- University of Massachusetts Medical School
- University of New Hampshire – Main Campus
- University of Pittsburgh
- University of Potsdam •
- University of Southern Queensland
- University of Tübingen
- Vrije Universiteit Brussel
- 76 more »
- « less
-
Field
-
, innovative, and dynamic research projects. They will learn the routine lab techniques and build strong analytical skills. The work between the two labs is at the interface of biology and engineering, employing
-
the design of innovative analytical and computational techniques to analyze,integrate and model multi modal data for the onset and progression of AMD. In doing so,the successful postdoctoral fellow will
-
, geometallurgy or related field Experience in either stochastics, deep learning or minerals processing is needed Structured and solution-oriented working style, analytical thinking and above-average committment
-
achieve automated data driven optimization (in terms of time and quality) of polishing process parameters by application of machine learning algorithms, leading to a robust, repeatable and fast polishing
-
the molecular level. While structural predictions using deep learning methods like AlphaFold have revolutionized our understanding of sequence dependent molecular structure, we currently have much more limited
-
with chemoreception and sensory biological techniques (SSR, GC-EAD, EAG). •Experience in analytical chemistry (GC-FID, GC-MS). •Experience in or willingness to learn statistical data analyses, data
-
; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 2 months ago
, further exploring the carbon-related impact of polymer breakdown. The project will also incorporate artificial intelligence (AI) and machine learning to optimise degradation processes and data analysis
-
understanding of the process, statistics and data analytics shall be applied to link the different conditions to the likelihood of microcracks occurring. The severity of microcracks may also be studied in
-
collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage
-
microscopy Experience in cell sorting via FACS and experimental lung research would be advantageous Extraordinary level of autonomy, initiative, analytical thinking and ability to work in a team Excellent