Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CEA
- ETH Zurich
- Ellison Institute of Technology
- Institut Pasteur
- Technische Universität Dresden (TU Dresden)
- UNIVERSITY OF SYDNEY
- AALTO UNIVERSITY
- Aarhus University (AU)
- CHUM Microbiome Centre
- CIC bioGUNE (Asociación Centro de Investigación Cooperativa en Biociencias)
- Cleveland Clinic
- Harvard T.H. Chan School of Public Health - Haber Lab
- Human Technopole
- Icahn School of Medicine at Mount S
- King's College London
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Mayo Clinic
- NEW YORK UNIVERSITY ABU DHABI
- NYU Langone Health, Skok Lab
- National Renewable Energy Laboratory NREL
- Rutgers Cancer Institute - Cancer Metabolism and Immunology
- Stanford University
- Technical University of Denmark
- UNIVERSITY OF HELSINKI
- University of Luxembourg
- University of Pittsburgh - Center for the Neural Basis of Cognition / Bioengineering
- University of Pittsburgh, Pittsburgh , Pennsylvania, US
- University of South Carolina
- University of Texas at Austin
- Universität Stuttgart
- 21 more »
- « less
-
Field
-
University of Turku, New York University Abu Dhabi, and Vrije Universiteit Amsterdam. Requirements A PhD in robotics, machine learning, computer vision, control, or a related field (candidates close to
-
scalable machine learning and AI tools that integrate spatial multi-omics data with mechanistic models across molecular, cellular, and tissue scales. The postdoc will also have the opportunity to make major
-
, machine learning, data science, drug discovery, and related fields are encouraged to apply. Strong computational backgrounds (AI/ML foundation models), proficiency in at least one programming language
-
has: strong experience in signal processing, machine learning or a related field a PhD (or near completion) in signal processing, machine learning or a related field experience in the development of
-
Two postdoc positions in Thermofluid Design and Digital Modeling of Cooling Systems for Electroch...
process-level system simulation with high-fidelity computational fluid dynamics and fast reduced-order and machine-learning models, so that the final design is both experimentally realizable and
-
simulations and machine learning for the development of functional material. Assisting the PI to work on the research project and initiate the new projects and to also provide training assistance for the
-
, Artificial Intelligence, Machine Learning, or a related field Exceptional BSc candidates with strong engineering experience will also be considered Experience in AI and neural network architectures Strong
-
CIC bioGUNE (Asociación Centro de Investigación Cooperativa en Biociencias) | Bilbao, Pais Vasco | Spain | 15 days ago
goal, the candidate will combine a gene network-based approach with a machine learning model (foundational model) to propose protocols for the sequential induction of transcription factors to
-
Postdoc – Advanced characterization of the stability of tandem photovoltaic cells under illumination
skills: Python programming, Silvaco (basics), machine learning, scientific english Soft skills: curiosity, analytical skills, ingenuity, proactive in suggesting ideas Position location Site Grenoble Job
-
contact Dr. Sandrine Medves (email address: ). Your profile Core qualifications: PhD in relevant domains including Artificial Intelligence, Machine Learning, Deep Learning, or High-Performance Computing