Sort by
Refine Your Search
-
) for the project: Uncovering the evolution of metabolic interactions in intrinsically disordered peptides Project description While enzymes have specific binding pockets with well-known interaction residues
-
Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
-
) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The research group Microbiome Dynamics (https://www.leibniz-hki.de
-
-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The research group Microbiome Dynamics (https://www.leibniz-hki.de/de/microbiome-dynamics.html ) invites
-
of infection, immunology, and adaptation of immunity across life. We aim to recruit a bioinformatician to complement our expertise and to develop an individual research focus within our research team. We offer
-
environment On-campus mentoring and “soft skills” training programs Prospective applicants should prepare the following documents: CV (up to 2 pages) detailing academic training and achievements List
-
Social Code IX (SGB IX) will receive priority for employment. Please submit your application including a motivation letter, CV, copy of degree certificate, transcript of grades (i.e., the official list
-
“planar scanning probe microscopy”, a flexible approach to scanning probe microscopy developed in our group (Ernst … Reinhard, ACS Photonics 6, 2 (2019)) to turn nanogap cavities into a scanning probe
-
. Dr. med. Alexander Busch investigates the regulation of the hypothalamic-pituitary-gonadal (HPG) axis—a key system in human reproductive development and fertility. The group combines clinical cohorts
-
! RESPONSIBILITIES: You will elucidate the molecular mechanisms driving the development of distinct malignant lymphoma subtypes and contribute to the identification of predictive biomarkers and novel therapeutic