Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
-
Postdoc position in Materials Characterization for Additive/Subtractive Manufacturing and Sustain...
performance in refurbished metal parts and contribute to assessing their environmental impact, including data input for CO2e analysis tools. Expected start date and duration of employment This is a 1.5–year
-
performance in refurbished metal parts and contribute to assessing their environmental impact, including data input for CO₂e analysis tools. Expected start date and duration of employment This is a 1.5–year
-
in the face of climate change. You will: Conduct ecological fieldwork at research sites in Sweden and Denmark. Collect and analyse phenological data using camera and drone-based imagery. Use genetic
-
analytical skills. Strong numerical skills. Programming experience, advanced python is mandatory. Experience in field data collection, experience in remote field conditions is a plus. Excellent English skills
-
engineering, computer science or similar Strong analytical and problem-solving skills Excellent written and verbal communication skills in English Ability to work independently and in cross-functional teams
-
relating to thermal stress responses. Additionally, the postdoc will also be developing methods for integrating thermal tolerance measures with microclimate data from field sites and climate models to better
-
interest A PhD in Biomedicine, Immunology, or a related field Expertise in flow cytometry and cellular biology Experience with in vivo mouse models Strong analytical and problem-solving skills Excellent
-
gene editing, or protein structure prediction Expertise and interest in functional analysis of proteins. Motivation and strong analytical and organizational skills. Strong communication and collaborative
-
analytical techniques Advanced knowledge in research design and methods (running extensive experimental studies) Familiarity with practices of transparency and open science Strong interpersonal and