Sort by
Refine Your Search
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- RIKEN
- University of Miami
- Heriot Watt University
- Stanford University
- University of Central Florida
- Aarhus University
- Delft University of Technology (TU Delft)
- National Energy Technology Laboratory (NETL)
- New York University
- Northeastern University
- Oak Ridge National Laboratory
- Pennsylvania State University
- Stony Brook University
- U.S. Department of Energy (DOE)
- Argonne
- Centre for Genomic Regulation
- Chalmers University of Technology
- Computer Vision Center
- Copenhagen Business School
- Cornell University
- DAAD
- EPFL
- European Space Agency
- Fundació per a la Universitat Oberta de Catalunya
- Helmholtz-Zentrum Hereon
- Max Planck Institute of Microstructure Physics, Halle (Saale)
- McGill University
- Poznan University of Technology
- SUNY University at Buffalo
- Sandia National Laboratories
- Texas A&m Engineering
- University of Colorado
- University of Oregon
- University of Southern California
- Vrije Universiteit Amsterdam (VU)
- Zintellect
- 27 more »
- « less
-
Field
-
requirements are completed before the anticipated start date. Preferred Qualifications: · Research experience in cancer cachexia, skeletal muscle wasting, muscle physiology, cancer biology, metabolism
-
Starting date: 11.08.2026 Job description:Postdoctoral Researcher - Ultrafine particles around airports Job ID: 1045 Location: Geesthacht near Hamburg/Germany Project start November 15, 2026 until June 30
-
or expected by the start date. Demonstrated hands-on experience designing and executing BSFL rearing trials, including substrate formulation, growth monitoring, and biomass processing. Proven experience
-
. An ideal candidate should have experience in modeling electrochemical reactions on surfaces and interfaces using first-principles density functional theory (DFT), grand canonical DFT (GC-DFT
-
throughout the Department. The U.S. Department of Energy's (DOE) Workforce Readiness Accelerator for Major Projects (RAMP) is an initiative focused on workforce development research, policy, and program design
-
, analyze, and interpret complex datasets. Comprehensive understanding of scientific principles and rigorous experimental or analytical design. Strong general computer skills and ability to quickly learn new
-
highly desirable. Experience with computational methods such as density functional theory calculations, geometry optimization, and prediction of NMR parameters will be considered an advantage
-
computer engineering degrees with previous experience in natural language processing; or computational linguistics/language technologies degrees; (b) strong programming skills and machine learning experience
-
, with a strong experimental research background. Demonstrated experience designing and building scientific instruments, including the integration of optical, electronic, mechanical, and computer
-
design. Perform large-scale computational screening using first-principles calculations and machine-learning potentials. Analyze structure–property relationships and extract scientific insights from AI