Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
of two former supervisors A complete publication list (can be included in your CV) A copy of your diploma (PhD or equivalent) We warmly welcome your application! Where to apply Website https://lu.varbi.com
-
sensitive fluorescent probes to identify, localise and quantitatively assess the activity of selected proteases in cancer cells, neutrophils, PBMCs and tissue samples. The use of advanced confocal microscopy
-
; this entails a minimum of 12-16 weeks of simulation and hands-on experience. Key Responsibilities Insertion of vascular access devices, including PIVCs and PICCs, using transillumination devices, ultrasound
-
, and procedures related to campus safety. Go here to review: https://safety.temple.edu/reports-logs/annual-security-report You may request a copy of the report by calling Temple University’s Campus
-
? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Tissue organization is achieved by the genome encoding both cell
-
positions at the assistant or associate professor levels. We seek an outstanding cancer data scientist who will complement existing strengths in the Department in transcriptional regulation, cell signaling
-
: 1 year Appointment Start Date: Flexible Group or Departmental Website: http://www.sheltzerlab.org (link is external) How to Submit Application Materials: Email your application to Dr. Sheltzer Does
-
. Your responsibilities will include developing performance models for zero-emission aircraft (hydrogen combustion, hydrogen fuel cell, battery-electric, hybrid-electric) and assessing ATM network impacts
-
interaction in cell membranes, as energy source and in cellular signalling and function. As such, they also play decisive roles in cardiovascular disease, chronic kidney disease, cancer and chronic inflammatory
-
the effects of these factors at the tissue level. The position will also involve simulating and optimizing complex models that integrate biological and physical data using advanced methods, such as physics