Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Stavanger
- Zintellect
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Oslo
- Northeastern University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- National University of Singapore
- Universidade de Coimbra
- Universidade Católica Portuguesa - Porto
- Harvard University
- Instituto de Telecomunicações
- University of British Columbia
- Paul Scherrer Institut Villigen
- University of Birmingham
- University of California
- Carnegie Mellon University
- Cornell University
- FCiências.ID
- Indiana University
- Nature Careers
- Singapore University of Technology & Design
- UNIVERSITY OF SOUTHAMPTON
- UiT The Arctic University of Norway
- University of South Carolina
- AbbVie
- Brunel University London;
- Center for Drug Evaluation and Research (CDER)
- Emory University
- FEUP
- Hokkaido University
- INESC ID
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Instituto de Engenharia Mecânica
- Johns Hopkins University
- LNEC, I.P.
- Lawrence Berkeley National Laboratory
- London School of Hygiene & Tropical Medicine;
- Marquette University
- National Laboratory of Energy and Geology
- OsloMet
- Politécnico de Leiria
- Ryerson University
- SUNY University at Buffalo
- State research institute Center for Physical Sciences and Technology
- The University of Southampton
- Universidade de Aveiro
- Universidade do Minho
- University of Algarve
- University of Bergen
- University of Birmingham;
- University of California Irvine
- University of Cincinnati
- University of Glasgow
- University of Houston
- University of Maryland, Baltimore
- University of Michigan
- University of South-Eastern Norway
- University of Texas at Austin
- University of Vermont Medical Center
- Université Gustave Eiffel
- Vrije Universiteit Brussel
- 52 more »
- « less
-
Field
-
for implementing multimodal sensors, particularly in the automotive applications. Knowledge of engineering design, human factor, control, optimization, FEA simulation and experience in sensors will be considered
-
processing, mining, chemical or geological engineering, or a PhD in a related field with mining/mineral processing experience. Knowledge of process mineralogy, froth flotation through past research, coursework
-
for reproducible HPC environments. Experience with CUDA-level optimization or debugging hardware-specific performance differences. Basic knowledge of protein structure, folding, or biophysics. Physical Demands
-
aims to improve electrodialysis (ED) for REE separation by developing advanced membranes and integrating AI-driven optimization techniques. By combining materials innovation with machine learning
-
strategies Integrated Coastal Zone Management (ICZM) Water information systems, knowledge management, and decision-support tools Forecasting, monitoring, and early warning systems Environmental sustainability
-
structure–activity relationships (SAR) to optimize the potency, physicochemical and ADME properties, pharmacokinetics, safety, and in vivo efficacy of lead molecules. In collaboration with other scientists
-
: Designing, synthesizing, and optimizing molecules targeting GPCRs (cannabinoid receptors; allosteric and orthosteric) and ion channels (α4β2 nAChR, α7nAChR, α9* nAChR, GIRK1/2, GIRK1/4, etc.) Conducting
-
learning based optimization algorithms, human and AI coordination in best decision making for urban transportation related problems. The role will focus on developing generic frameworks and innovative
-
protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and
-
across all aspects of medicinal chemistry, including: Designing, synthesizing, and optimizing molecules targeting GPCRs (cannabinoid receptors; allosteric and orthosteric) and ion channels (42 nAChR