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that no one could answer alone. As a postdoc, you’ll be part of a dynamic environment that values your individual expertise while amplifying it through shared infrastructure, collective ambition, and
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program leveraging Artificial Intelligence (AI) and computational approaches to accelerate mechanistic understanding, target identification, and therapeutic development, as part of the ENACT program (https
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
: Benchmarking existing and developing novel computational approaches for inference of microRNA activities from single-cell/nucleus and spatial omics (NGS, MassSpec). Interrogation of GWAS data for identifying
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focus on agent-based modeling and the quantitative analysis of spatial structures in experimental data. In doing so, you will develop your own research focus, support conceptual work, and contribute
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including, implementation of spatial light modulation, single cell photostimulation/inhibition used in conjunction with in vivo calcium imaging. Assist with transferring new experimental methodologies
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evolutionary mechanisms: for example, heterozygote advantage (HA), negative-frequency dependent selection (NFDS) or spatially/temporally fluctuating selection (FS). Recently, new research showing that balancing
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., Baldewijns, M., Beuselinck, B., Garg, A.D. (2024). A spatial architecture-embedding HLA signature to predict clinical response to immunotherapy in renal cell carcinoma. NATURE MEDICINE, 30 (6), 1667-1679. doi
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for the IPBES spatial planning and connectivity assessment (https://www.ipbes.net/spatial-planning-assessment ) at the Institute for Environmental Studies at Vrije Universiteit Amsterdam. Together with a
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responsibilities (10%): · Supervising and mentoring research staff, PhD students, or postdocs · Providing guidance, training, and technical support to others in the research team · Ensuring
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
Responsibilities: Benchmarking existing and developing novel computational approaches for inference of microRNA activities from single-cell/nucleus and spatial omics (NGS, MassSpec). Interrogation of GWAS data