Sort by
Refine Your Search
-
Listed
-
Employer
- Eurac Research
- Istituto Italiano di Tecnologia
- Bocconi University
- Edmund Mach Foundation
- European University Institute
- Human Technopole
- IIGM Italian Institute for Genomic Medicine
- IRCCS Casa della Sofferenza Foundation
- Institute of Hematology and Center for Hemato-Oncology Research
- Nature Careers
- University of Trento
- 1 more »
- « less
-
Field
-
axon growth and regeneration. Over the past decade, the lab has contributed significantly to uncovering the molecular pathways activated by mechanical forces in neurons, advancing the field of neuronal
-
of lung cancer genomics, transcriptomics, and molecular biology. The successful candidate will join a young, dynamic, and interdisciplinary team dedicated to uncovering the molecular mechanisms driving lung
-
; supercritical fluid extraction, SFE). Sample Preparation and Analysis: Conduct comprehensive sample extraction and analysis using state-of-the-art instrumentation, primarily High-Performance Liquid Chromatography
-
setups ESSENTIAL REQUIREMENTS A PhD in mechatronics, including biomedical engineering, mechanical engineering, and similar disciplines Documented experience in wearable devices and/or robotics Strong
-
-exome/whole-genome sequencing data from tumor verus normal paired DNA, as well as of data generated with RNA-seq, ChIP-seq, CUT&RUN-seq, ATAC-seq, HiC-seq, would be a plus. The candidate should have a PhD
-
, biochemical and biological compounds able to selectively generate apoptosis in primary brain tumors. ESSENTIAL REQUIREMENTS A PhD in nanotechnologies, physics, engineering, or related disciplines Previous
-
LevelPhD or equivalent Skills/Qualifications Requirements: PhD or MSc in a relevant field of interdisciplinary research (e.g. Bioinformatics or Computational Biology). R software development experience
-
Teach and supervise at undergraduate, master’s, and PhD levels Collaborate with academic and industrial partners Disseminate results in top-tier conferences and journals Requirements PhD in
-
on shared platforms, aiming to characterize system behavior and develop theoretical foundations for coordination mechanisms. The candidate will focus on the learnability of classical economic problems, with
-
standard treatments. The project aims to identify the underlying biological mechanisms and apply research findings to develop potential therapeutic strategies. The Institute provides state-of-the-art