Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab is highly desirable. You should have good analytical
-
code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and
-
researcher You will develop analytical methods to quantify the individual vitamers, as well as precursor and degradation products. You will evaluate content of vitamins and nutrient during processing with
-
perhaps you are our new researcher You will develop analytical methods to quantify the individual vitamers, as well as precursor and degradation products. You will evaluate content of vitamins and nutrient
-
focus is demonstrating how predictive analytics can improve maintenance and production planning. By comparing data-driven and traditional methods, the project will highlight the tangible benefits
-
. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
-
on enzyme kinetics and stability measurements. The team have access to labs equipped with alternative reactors and excellent analytical equipment. Responsibilities and qualifications The position includes
-
extraction techniques. Strong knowledge of protein science and its application in food systems. Proficiency in analytical techniques relevant to food and protein characterization. Skills in statistical
-
simulation and modelling tools In addition, we look for a candidate with strong communication and collaboration abilities as well as excellent problem-solving and analytical skills that have been demonstrated
-
is highly desirable. The candidate should have good analytical skills as well as good communication skills in English. You should have completed a two-year master's degree (120 ECTS points) in