Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
of market mix, channel optimization, digital analytics, predictive models, decision engine/next best action. Lead the development and implementation of data-driven solutions using advanced analytics and
-
urgent need for innovative platforms that can rationalize and optimize bispecific antibody architecture with these constraints in mind. The aim of this project is to develop an AI-driven platform
-
experience with the Linux operating system is expected, because large software toolboxes are used and further developed. The working language at the institute is English. Experience with targeted and optimized
-
is expected, because large software toolboxes are used and further developed. The working language at the institute is English. Experience with targeted and optimized brain stimulation and with
-
needs—facilitating rapid iteration and optimized drug development pipelines. Collaborative Synergies: Joining our venture studio connects you with a vibrant ecosystem of experienced entrepreneurs
-
-affiliated hospitals. Responsibilities Design and optimize new CAR constructs and delivery systems Conduct in vitro assays to evaluate cytotoxicity, cytokine production, and phenotype Perform in vivo efficacy
-
resources, funding, and mentorship Your Responsibilities: Lead the design, development, and optimization of scalable AI inference pipelines Implement and experiment with LLMs, GNNs, multi-modal AI, and vision
-
research should align with AFMB’s flagship thematic areas: virology and glycobiology. The AFMB Laboratory provides an optimal environment to bridge in silico results with experimental work. Its state
-
patient conditions to optimize patient care. Documents drug information and other relevant clinical activities in the information system consistently with defined policy. Communicates effectively with
-
. The incumbent will be responsible for assay design, optimization, and validation using automation, execution of high-throughput small-molecule screening campaigns, and analysis of large, complex datasets