20 beste vacatures voor de functie van machine learning in harmelen, ut (nieuwe medewerkers gezocht)

PhD Position Coronary Vasomotor Dysfunction & Early Detection in ANOCA Patients
UMC Utrecht —Utrecht
- € 3.217 - € 4.077 per maand
- Parttime
- Doctor
- Master
- Linux
9 dagen
ML Ops/AI engineer
Itility B.V. —Randstad
- Fulltime
- Hybride werken
- Azure
- DevOps
- Kantoor
- Reiskostenvergoeding
- Tankpas
Scientific Software Engineer Vision & Robotics
24Beta B.V. —Randstad
- € 4.000 - € 6.000 per maand
- Parttime
- Informatica
- Doctor
- Informatica
Snel solliciteren
7 dagen
Promovendus LIQUID-DCI
Amsterdam UMC —Amsterdam-Zuidoost
- € 3.598 - € 5.669 per maand
- Laboratorium
- Bloedmonsters
- Data-analyse
Data Scientist
CGI —Randstad
- Hybride werken
- Azure
- Informatica
- Master
- Winstdeling
Snel solliciteren
Data Engineer
InnSpire —Randstad
- € 6.000 - € 10.000 per maand
- Parttime
- Azure
- DevOps
- Engels
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
AI Engineer
Unica —Bodegraven
- € 4.385 - € 6.000 per maand
- Fulltime
- Informatica
- Azure
- Informatica
- Winstdeling
13 dagen
Data Scientist - Verzekeringen & Pensioenen
CGI —Randstad
- Azure
- DevOps
- Data-analyse
Snel solliciteren
Consultant Analytics & Modelling
Supply Value —Zeist
- € 3.775 - € 8.375 per maand
- Fulltime
- Hybride werken
- Onderzoek
- SQL
- Analytisch vermogen
Snel solliciteren
PHP Developer (AI)
Reisknaller.nl —Alphen aan den Rijn
- € 2.900 - € 5.000 per maand
- Fulltime
- Hybride werken
- Azure
- Master
- AWS
- Kosteloos parkeren
- Reiskostenvergoeding
Snel solliciteren
Senior Data Scientist
Conflux —Utrecht
- Tot € 6.500 per maand
- Online sollicitatie
- Hybride werken
- Informatica
- Azure
- Master
Snel solliciteren
Full-stack Developer
Valk Service Center —Breukelen
- € 3.250 - € 5.350 per maand
- Fulltime
- Azure
- Kantoor
- Master
- Reiskostenvergoeding
- Werk vanuit huis
4 dagen
Postdoctoral Researcher in Blue Planet Governance
Universiteit Utrecht —Utrecht Oost
- € 3.546 - € 5.538 per maand
- Fulltime
- Doctor
- Schrijfvaardigheden
- Engels
Snel solliciteren
Lead Software Developer | Utrecht | 40 uur
Fullwood JOZ —Utrecht
- € 5.000 - € 6.500 per maand
- Fulltime
- Azure
- APIs
- Linux
- Reiskostenvergoeding
- Flexibele werkuren
Medior Data Scientist
DAS —Amsterdam-Zuidoost
- € 4.432 - € 6.549 per maand
- Fulltime
- Hybride werken
- Azure
- Oracle
- Master
- Reiskostenvergoeding
- Zorgverzekering
Snel solliciteren
AI Engineer
Channable —Utrecht
- € 5.000 - € 7.000 per maand
- Fulltime
- Hybride werken
- Databases
- Bachelor
- Linux
- Flexibele werkuren
Snel solliciteren
Senior Business Intelligence Consultant
incore Solutions —Zeist
- € 4.000 - € 7.000 per maand
- Fulltime
- Azure
- Kantoor
- Bachelor
Snel solliciteren
Data Engineer
Pancompany —Amsterdam-Zuidoost
- € 55.000 - € 110.000 per jaar
- Hybride werken
- Azure
- Engels
- Java
Data Scientist Internship
Tesla —Amsterdam-Zuidoost
- Informatica
- SQL
- Analytisch vermogen
5 dagen
Data Engineer - Oil & Gas
CGI —Randstad
- Hybride werken
- Azure
- Oracle
- Informatica
- Winstdeling
Snel solliciteren

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van machine learning in harmelen, ut

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PhD Position Coronary Vasomotor Dysfunction & Early Detection in ANOCA Patients

UMC Utrecht -
Utrecht

Nu solliciteren

Vacaturegegevens

Parttime | Fulltime
€ 3.217 - € 4.077 per maand
9 dagen geleden

Kwalificaties

Biologie
Bio-informatica
Doctor
R
UNIX
Git
Master
Bash
GitHub
Linux
Python
Ziekenhuiservaring
Datawetenschappen

Volledige vacaturetekst

Join us to develop a blood-based biomarker assay for the early detection of coronary vasomotor dysfunction (CVDys) in patients with angina with non-obstructive coronary arteries (ANOCA).

Dit ga je doen

Heart disease is the leading cause of death in women, yet millions with chest pain suffer from ANOCA, a condition caused by dysfunction of the coronary vessels that is often missed by standard diagnostic tests. As a result, patients can face years of uncertainty and repeated hospital visits before receiving a diagnosis, while the current gold-standard CFT test is invasive, costly, painful, and limited available.

In this PhD project, you will help develop the first blood-based test for ANOCA, combining next generation sequencing, multi-omics analyses, and advanced machine learning to diagnose the disease and identify its underlying subtype from a simple blood draw. This approach could reduce diagnosis time from years to weeks, replace unnecessary invasive procedures, lower healthcare costs, and enable earlier, more personalized treatment for a large and underserved patient population.

By integrating clinical, sequencing data, and circulating biomarkers, the project aims to:

Develop and validate advanced machine learning models for the stratification and diagnosis of ANOCA;
Provide cell-type–resolved and pathway-level mechanistic insights into ANOCA pathophysiology through multi-omics analyses;
Contribute to the clinical translation, implementation, and commercialization of novel diagnostic technologies, including potential spin-off creation.

Hier ga je werken

The project will be primarily conducted at the Laboratory of Experimental Cardiology, UMC Utrecht, a leading centre for translational research in chronic coronary syndromes. You will work within a stimulating and highly interdisciplinary team that combines scientific, technical, clinical, and entrepreneurial expertise. In addition, you will collaborate closely with cardiologists and other healthcare professionals involved in the diagnosis and treatment of ANOCA patients.

Dit neem je mee

We are looking for a highly motivated candidate with a Master's degree in Bioinformatics, Computational Biology, Data Science, or a related field. Experience in biomedical or translational research is considered an advantage but is not required.

Personal qualifications:

You work well in a team, are reliable and professional, and perform effectively under pressure;
You are able to manage multiple priorities simultaneously and adapt to changing circumstances;
You can work within defined timelines and successfully deliver projects on schedule;
You are enthusiastic about combining scientific research with entrepreneurship and are eager to contribute to activities related to innovation, networking, and future venture creation;
You thrive in an interactive working environment where frequent communication, teamwork, and knowledge exchange are essential to success.

Technical qualifications:

You have at least two years of experience programming in Python and R;
You have a solid understanding of machine learning principles, including model selection, training, performance evaluation, and validation;
You have experience working in a high-performance computing (HPC) environment and are familiar with Linux/Unix systems, Bash scripting, Git version control, and command-line bioinformatics tools;
You have experience handling, processing, and analysing large-scale biological and clinical datasets through the creation of robust pipelines;
You have experience with multi-omics data integration and sequencing data analysis. Experience with artificial intelligence applications, including large language models (LLMs) and generative AI, is considered an advantage.

Are you the person we are looking for? Submit your application including your CV, a motivation letter, two reference letters, and links to any GitHub repositories from previous projects.

Dit bieden we jou

A salary between € 3217 and € 4077 gross per month (salary scale OIO), based on full-time employment (36 hours).
A position for a period of 4 years.
Year-end bonus of 8.3% and holiday allowance of 8%.
Pension insurance with ABP. We take care of approximately 70% of the monthly contribution.
100% public transport reimbursement. Are you coming on foot, by bike or by car? You will then receive a reimbursement of € 0.18 per km (by car up to a max. of 40 km one way).
Possibilities to develop yourself personally and professionally.
Cao à la carte: The option to select additional employment benefits in exchange for gross salary, such as purchasing a bicycle and memberships.

Wij geloven in de kracht van een divers team waarin ruimte is voor verschillende vaardigheden, expertises, sociale en culturele achtergronden. Wij zijn benieuwd naar jou!

Onze nieuwe collega's werven we zelf. We hebben geen behoefte aan acquisitie.

Sollicitatieprocedure

Een leuke vacature gevonden?
Solliciteer! Stuur ons je cv en motivatiebrief.
Dank voor je sollicitatie
Je ontvangt meteen een ontvangstbevestiging van ons.
Selectieproces
Binnen twee weken na sluiting vacature hoor je van ons of je bent uitgenodigd
Eerste gesprek
Samen kijken we of er een match is.
Tweede gesprek
Bij een match volgt er een voorstel arbeidsvoorwaarden of assessment.
Welkom!
Wat fijn dat je bij ons aan de slag gaat! Heel veel werkplezier!

Kom meer te weten over werken bij het UMC Utrecht

Dit bieden we jou

Kom je bij ons werken? Dan geldt voor jou de cao umc. Daarnaast bieden we je nog veel meer en organiseren we van alles zodat jij jezelf kan blijven ontwikkelen.

Samen zijn wij UMC Utrecht

Wij geloven in de kracht van een divers team waarin ruimte is voor verschillende vaardigheden, expertises, sociale en culturele achtergronden. Wij zijn benieuwd naar jou!

Kom je langs

Binnen het UMC Utrecht organiseren we regelmatig evenementen. Zo kan jij je goed oriënteren op werken bij ons ziekenhuis!

Nu solliciteren

Verfijn je zoekopdracht

machine learning vacatures in harmelen, ut

PhD Position Coronary Vasomotor Dysfunction & Early Detection in ANOCA Patients

ML Ops/AI engineer

Scientific Software Engineer Vision & Robotics

Promovendus LIQUID-DCI

Data Scientist

Data Engineer

AI Engineer

Data Scientist - Verzekeringen & Pensioenen

Consultant Analytics & Modelling

PHP Developer (AI)

Senior Data Scientist

Full-stack Developer

Postdoctoral Researcher in Blue Planet Governance

Lead Software Developer | Utrecht | 40 uur

Medior Data Scientist

AI Engineer

Senior Business Intelligence Consultant

Data Engineer

Data Scientist Internship

Data Engineer - Oil & Gas

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van machine learning in harmelen, ut

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