Sort by
Refine Your Search
-
strong background in one of the biological disciplines covered by PRIDAS (behavioral biology, data science, neuroscience, physiology, genetics) Knowledge of at least one analytical programming language
-
with process based erosion models, field measurements and atmospheric boundary layer processes detailed knowledge of GIS, Google Earth Engine, and programming in these systems high degree of initiative
-
tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries
-
related fields Native speaker or excellent command of German and English Experience in programming (in R) or motivation to learn and perform bioinformatic analyses of bacterial DNA (16S rRNA and shotgun
-
of the German public sector salary system (TV-L) (27.44 hours/week; part-time: 70%) The position starts as early as possible. The contract is initially limited for 36 months. Responsibilities: Scientific
-
Research Foundation), the Research Group Functional Architecture of Memory (FAM) at the Leibniz Institute for Neurobiology in Magdeburg (Germany; PI Magdalena Sauvage) is seeking a highly motivated PhD
-
to learn new techniques Professional skills in the English language DWI offers Exciting and challenging tasks with access to internal and external networks, training opportunities, and conferences Individual
-
to learn new techniques Professional skills in the English language DWI offers Exciting and challenging tasks with access to internal and external networks, training opportunities, and conferences Individual
-
; German would be desirable Initiative, motivation, commitment, and scientific curiosity We offer a structured PhD program, exciting research topics, a stimulating international environment, a good
-
English-language skills. Experience with programming is highly recommended. Above-average interest in the topic, we consider self-motivation and the ability to face new professional challenges as self-evident