Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- INESC TEC
- Instituto Pedro Nunes
- University of Bergen
- UiT The Arctic University of Norway
- Imperial College London
- Nanyang Technological University
- University of British Columbia
- FCiências.ID
- Politécnico de Leiria
- Universidade de Coimbra
- University of Birmingham
- University of Michigan
- University of South-Eastern Norway
- FEUP
- Gulbenkian Institute for Molecular Medicine
- Humboldt-Universität zu Berlin
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Queensland
- Universidade de Aveiro
- University of New South Wales
- University of Nottingham
- University of Stirling
- ;
- AbbVie
- Centro de Engenharia Biológica da Universidade do Minho
- Delft University of Technology (TU Delft)
- ETH Zürich
- Genentech
- Harvard University
- INESC ID
- Institut du Cerveau et de la Moelle épinière
- Instituto Superior Técnico
- King Abdullah University of Science and Technology
- LE STUDIUM LOIRE VALLEY INSTITUTE FOR ADVANCED STUDIES
- Macquarie University
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Nature Careers
- Paul Scherrer Institut Villigen
- Princeton University
- REQUIMTE - Rede de Quimica e Tecnologia
- Simula Research Laboratory
- Singapore Institute of Technology
- University of Beira Interior
- University of California
- University of Maryland, Baltimore
- Vanderbilt University
- Zintellect
- 41 more »
- « less
-
Field
-
biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue
-
Apply Now How to Apply Applications should include a CV, a short research statement and names and email addresses for three references. A GitHub repo link for relevant code would be welcome. Please
-
in the motivation letter. Additional optional skills and qualifications: Previous experience in: segmentation of magnetic resonance images (MRI) of the brain and spinal cord; generation of surface and
-
optimizations, such as new data caching algorithms. Develop a prototype that integrates the optimizations and experimentally evaluate the prototype.; Integrate the optimizations with a new modular and flexible I
-
. The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: Previous experience in biomedical image and
-
storage devices; - Implementation of a prototype of the previous system and design of profiling mechanisms that enable identifying complex I/O patterns and the corresponding placement rules; - Experimental
-
) Prototype evaluation and model optimisation . WORKPLACE AND SCIENTIFIC SUPERVISION: The work will be developed at the CDRSP, under the scientific guidance of Prof. João Manuel Matias. . GRANT FINANTIAL
-
time experiments. Experience of working in an interdisciplinary team. Experience with supervising and mentoring more junior researchers. Beneficial Criteria Experience in coding (e.g. Python, C, Fortran
-
view of multimodal information processing including the development of neural models for language and image using deep learning technology, with particular focus on the Portuguese language; 2
-
with heat pumps/HVAC and EMS/BMS/SCADA, specifying data exchange and developing APIs; • support prototype tests, calibration and KPI definition (efficiency, cost, CO₂); • attend a transversal competences