Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, comparing it with other drug classes and countries. Applying a mixed-method approach, the project integrates qualitative case studies with quantitative Social Network Analysis, simulations (Agent-Based Models
-
The Advanced Photon Source (APS) (https://www.aps.anl.gov/ ) at Argonne National Laboratory (Lemont, Illinois, US (near Chicago)) invites applicants for a postdoctoral position to build a physics
-
Engineering and Risk modelling Wealth management, payment and lending AI/Machine Learning applications in financial services Financial literacy and ethics Intelligent agents/ Collective Intelligence Data
-
microscopy and in vivo modelling of cancer. This will be a collaborative project jointly supervised by Stephen Tait and Ed Roberts. You will join a young, dynamic interdisciplinary research team, based withing
-
Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26957 Mathematical Modeller (PhD/Postdoc) – Diagnostics for respiratory infections (m/f/d) PhD
-
more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's
-
doctoral degree such as MD or PhD or equivalent degree and has interests in immunotherapy and/or hematopoietic stem cell transplantation using mouse animal models. The research involves understanding
-
architectures. This includes among other: (a) design and implementation of machine learning and GenAI models, (b) efficient training and inference on GPU-based systems, (c) fine-tuning and optimization of large
-
highly desirable) AI/ML for predictive modeling and inverse design of nanomaterials Autonomous laboratories for materials synthesis and characterization Generative models, reinforcement learning, and agent
-
should be exclusively submitted through the consortium webpage https://raptor-consortium.com/recruitment/ RAPTORplus aims at adapting proton therapy treatment with multi-modality image information acquired