Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- Texas A&M University
- George Washington University
- Texas A&M AgriLife
- Texas A&m Engineering
- University of Luxembourg
- University of New South Wales
- University of Washington
- Argonne
- Brookhaven National Laboratory
- Chalmers University of Technology
- EPFL
- KTH Royal Institute of Technology
- Kennesaw State University
- King's College London
- Lehigh University
- Lodz University of Technology
- Lulea University of Technology
- Pennsylvania State University
- Poznan University of Technology
- Purdue University
- Saarland University
- Sandia National Laboratories
- Technical University of Munich
- Texas A&M AgriLife Extension
- University of California Irvine
- University of Connecticut
- University of Florida
- University of Liverpool
- University of Oxford
- Warsaw University of Technology
- Washington State University
- Wroclaw University of Science and Technology
- 23 more »
- « less
-
Field
-
guidance and technical support to laboratory team members and mentor students. Contribute to the development and preparation of grant proposals. Maintain laboratory software and hardware resources while
-
, agricultural economics, or a closely related field. Preferred Qualifications: Experience with survey design methodologies and software. Strong quantitative and mixed‑methods skills. Excellent written and oral
-
development, fluorescence/imaging, flow cytometry, or related methods. Experience with computational drug discovery, molecular modeling, structure-based design, or analysis software such as MOE, AlphaFold/Boltz
-
with Multiclamp 200B and 700B type amplifiers or comparable, Axoclamp 900A amplifiers or comparable, and PClamp software or equivalent. Knowledge, Skills, and Abilities Excellent verbal and written
-
research, with proficiency in research software appropriate to the candidate’s methodological expertise (e.g., R, Python, SPSS, NVivo, or MAXQDA). Experience designing, deploying, or evaluating generative AI
-
and communities. Experience with qualitative and/or quantitative (at least one; both preferred) data analysis, including sufficient knowledge in statistical tools and software. Experience writing
-
literate to include ability to effectively utilize a computer and applicable software to create databases, perform statistical analyses, present data and perform other computer related tasks as directed by
-
Do you want to use functional programming to find new ways to develop, test and formally verify software or hardware? Chalmers, with its world leading groups in functional programming and formal
-
Qualifications Ph.D. with a focus in health policy, public health, demography, geography, sociology, or a closely-related discipline Experience using STATA data analysis software Experience with HCUP (Healthcare
-
for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into emerging paradigms