Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, United States of America [map ] Subject Areas: Bioengineering Immunology / T cells Biology / Neurobiology Appl Deadline: (posted 2025/08/09, listed until 2026/02/06) Position Description: Apply Position Description
-
Organoid model culturing Mouse model optimization and validation You will report to the Professor Bent Deleuran and Associate Professor Stinne Greisen Your competences You have academic qualifications at PhD
-
help! We have several fully-funded open PhD and Post-Doc positions (m/f/d, E13 TV-L) in our group - which just moved from the Max Planck Institute in Erlangen to the University of Tübingen, one
-
: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender
-
the kinetics of enzymatic polymerization processes in biological environments. Expand and tailor enzyme repertoires to optimize functionality and electrode performance. Collaborate within a multidisciplinary and
-
Postdoc Fellowship - Vitercik” Does this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate
-
testing, and advanced process simulation, with the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing
-
of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities
-
background and motivation to apply for this position. Your curriculum vitae with publication list, including bachelor's, master's and PhD degrees, work and research experience. A research statement (max. 500
-
through long-term impact assessment and optimization. The goal is to develop a framework to estimate carbon emissions across AI's development, operation, and use. This framework enables stakeholders